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Search results for: vehicular emissions
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</div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: vehicular emissions</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1502</span> Assessment and Prediction of Vehicular Emissions in Commonwealth Avenue, Quezon City at Various Policy and Technology Scenarios Using Simple Interactive Model (SIM-Air)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ria%20M.%20Caramoan">Ria M. Caramoan</a>, <a href="https://publications.waset.org/abstracts/search?q=Analiza%20P.%20Rollon"> Analiza P. Rollon</a>, <a href="https://publications.waset.org/abstracts/search?q=Karl%20N.%20Vergel"> Karl N. Vergel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Simple Interactive Models for Better Air Quality (SIM-air) is an integrated approach model that allows the available information to support the integrated urban air quality management. This study utilized the vehicular air pollution information system module of SIM-air for the assessment of vehicular emissions in Commonwealth Avenue, Quezon City, Philippines. The main objective of the study is to assess and predict the contribution of different types of vehicles to the vehicular emissions in terms of PM₁₀, SOₓ, and NOₓ at different policy and technology scenarios. For the base year 2017, the results show vehicular emissions of 735.46 tons of PM₁₀, 108.90 tons of SOₓ, and 2,101.11 tons of NOₓ. Motorcycle is the major source of particulates contributing about 52% of the PM₁₀ emissions. Meanwhile, Public Utility Jeepneys contribute 27% of SOₓ emissions and private cars using gasoline contribute 39% of NOₓ emissions. Ambient air quality monitoring was also conducted in the study area for the standard parameters of PM₁₀, S0₂, and NO₂. Results show an average of 88.11 µg/Ncm, 47.41 µg/Ncm and 22.54 µg/Ncm for PM₁₀, N0₂, and SO₂, respectively, all were within the DENR National Ambient Air Quality Guideline Values. Future emissions of PM₁₀, NOₓ, and SOₓ are estimated at different scenarios. Results show that in the year 2030, PM₁₀ emissions will be increased by 186.2%. NOₓ emissions and SOₓ emissions will also be increased by 38.9% and 5.5%, without the implementation of the scenarios. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20air%20quality" title="ambient air quality">ambient air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions%20inventory" title=" emissions inventory"> emissions inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20air%20pollution" title=" mobile air pollution"> mobile air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions" title=" vehicular emissions"> vehicular emissions</a> </p> <a href="https://publications.waset.org/abstracts/111215/assessment-and-prediction-of-vehicular-emissions-in-commonwealth-avenue-quezon-city-at-various-policy-and-technology-scenarios-using-simple-interactive-model-sim-air" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111215.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">137</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1501</span> Vehicular Emission Estimation of Islamabad by Using Copert-5 Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Jahanzaib">Muhammad Jahanzaib</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Z.%20A.%20Khan"> Muhammad Z. A. Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Junaid%20Khayyam"> Junaid Khayyam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Islamabad is the capital of Pakistan with the population of 1.365 million people and with a vehicular fleet size of 0.75 million. The vehicular fleet size is growing annually by the rate of 11%. Vehicular emissions are major source of Black carbon (BC). In developing countries like Pakistan, most of the vehicles consume conventional fuels like Petrol, Diesel, and CNG. These fuels are the major emitters of pollutants like CO, CO2, NOx, CH4, VOCs, and particulate matter (PM10). Carbon dioxide and methane are the leading contributor to the global warming with a global share of 9-26% and 4-9% respectively. NOx is the precursor of nitrates which ultimately form aerosols that are noxious to human health. In this study, COPERT (Computer program to Calculate Emissions from Road Transport) was used for vehicular emission estimation in Islamabad. COPERT is a windows based program which is developed for the calculation of emissions from the road transport sector. The emissions were calculated for the year of 2016 include pollutants like CO, NOx, VOC, and PM and energy consumption. The different variable was input to the model for emission estimation including meteorological parameters, average vehicular trip length and respective time duration, fleet configuration, activity data, degradation factor, and fuel effect. The estimated emissions for CO, CH4, CO2, NOx, and PM10 were found to be 9814.2, 44.9, 279196.7, 3744.2 and 304.5 tons respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=COPERT%20Model" title="COPERT Model">COPERT Model</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20estimation" title=" emission estimation"> emission estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20emission" title=" vehicular emission"> vehicular emission</a> </p> <a href="https://publications.waset.org/abstracts/77778/vehicular-emission-estimation-of-islamabad-by-using-copert-5-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77778.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">261</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1500</span> Evaluation of the Impact of Pavement Roughness on Vehicle Emissions by HDM-4</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Azhar">Muhammad Azhar</a>, <a href="https://publications.waset.org/abstracts/search?q=Arshad%20Hussain"> Arshad Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular emissions have increased in recent years due to rapid growth in world traffic resulting in an increase in associated problems such as air pollution and climate change, therefore it’s necessary to control vehicle emissions. This study looks at the effect of road maintenance on vehicle emissions. The Highway Development and Management Tool (HDM-4) was used to find the effect of road maintenance on vehicle emissions. Key data collected were traffic volume and composition, vehicle characteristics, pavement characteristics and climate data of the study area. Two options were analysed using the HDM-4 software; the base case or do nothing while the second is overlay maintenance. The study also showed a strong correlation between average roughness and yearly emission levels in both the alternatives. Finally, the study showed that proper maintenance reduces the roughness and emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle%20emissions" title="vehicle emissions">vehicle emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20roughness" title=" road roughness"> road roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=IRI" title=" IRI"> IRI</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance" title=" maintenance"> maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=HDM-4" title=" HDM-4"> HDM-4</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2" title=" CO2"> CO2</a> </p> <a href="https://publications.waset.org/abstracts/91331/evaluation-of-the-impact-of-pavement-roughness-on-vehicle-emissions-by-hdm-4" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91331.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">264</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1499</span> VCloud: A Security Framework for VANET</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wiseborn%20Manfe%20Danquah">Wiseborn Manfe Danquah</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Turgay%20Altilar"> D. Turgay Altilar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular Ad-hoc Network (VANET) is an integral component of Intelligent Transport Systems (ITS) that has enjoyed a lot of attention from the research community and the automotive industry. This is mainly due to the opportunities and challenges it presents. Vehicular Ad-hoc Network being a class of Mobile Ad-hoc Networks (MANET) has all the security concerns existing in traditional MANET as well as new security and privacy concerns introduced by the unique vehicular communication environment. This paper provides a survey of the possible attacks in vehicular environment, as well as security and privacy concerns in VANET. It also provides an insight into the development of a comprehensive cloud framework to provide a more robust and secured communication among vehicular nodes and road side units. Our proposal, a Metropolitan Based Public Interconnected Vehicular Cloud (MIVC) infrastructure seeks to provide a more reliable and secured vehicular communication network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20Ad-hoc%20networks" title="mobile Ad-hoc networks">mobile Ad-hoc networks</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20ad%20hoc%20network" title=" vehicular ad hoc network"> vehicular ad hoc network</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud" title=" cloud"> cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=ITS" title=" ITS"> ITS</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20side%20units%20%28RSU%29" title=" road side units (RSU)"> road side units (RSU)</a>, <a href="https://publications.waset.org/abstracts/search?q=metropolitan%20interconnected%20vehicular%20cloud%20%28MIVC%29" title=" metropolitan interconnected vehicular cloud (MIVC)"> metropolitan interconnected vehicular cloud (MIVC)</a> </p> <a href="https://publications.waset.org/abstracts/15273/vcloud-a-security-framework-for-vanet" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15273.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">354</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1498</span> A 5G Architecture Based to Dynamic Vehicular Clustering Enhancing VoD Services Over Vehicular Ad hoc Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lamaa%20Sellami">Lamaa Sellami</a>, <a href="https://publications.waset.org/abstracts/search?q=Bechir%20Alaya"> Bechir Alaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, video-on-demand (VoD) applications are becoming one of the tendencies driving vehicular network users. In this paper, considering the unpredictable vehicle density, the unexpected acceleration or deceleration of the different cars included in the vehicular traffic load, and the limited radio range of the employed communication scheme, we introduce the “Dynamic Vehicular Clustering” (DVC) algorithm as a new scheme for video streaming systems over VANET. The proposed algorithm takes advantage of the concept of small cells and the introduction of wireless backhauls, inspired by the different features and the performance of the Long Term Evolution (LTE)- Advanced network. The proposed clustering algorithm considers multiple characteristics such as the vehicle’s position and acceleration to reduce latency and packet loss. Therefore, each cluster is counted as a small cell containing vehicular nodes and an access point that is elected regarding some particular specifications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=video-on-demand" title="video-on-demand">video-on-demand</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20ad-hoc%20network" title=" vehicular ad-hoc network"> vehicular ad-hoc network</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20traffic%20load" title=" vehicular traffic load"> vehicular traffic load</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20cell" title=" small cell"> small cell</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20backhaul" title=" wireless backhaul"> wireless backhaul</a>, <a href="https://publications.waset.org/abstracts/search?q=LTE-advanced" title=" LTE-advanced"> LTE-advanced</a>, <a href="https://publications.waset.org/abstracts/search?q=latency" title=" latency"> latency</a>, <a href="https://publications.waset.org/abstracts/search?q=packet%20loss" title=" packet loss"> packet loss</a> </p> <a href="https://publications.waset.org/abstracts/143145/a-5g-architecture-based-to-dynamic-vehicular-clustering-enhancing-vod-services-over-vehicular-ad-hoc-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143145.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1497</span> Estimation of Exhaust and Non-Exhaust Particulate Matter Emissions’ Share from On-Road Vehicles in Addis Ababa City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Solomon%20Neway%20Jida">Solomon Neway Jida</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Francois%20Hetet"> Jean-Francois Hetet</a>, <a href="https://publications.waset.org/abstracts/search?q=Pascal%20Chesse"> Pascal Chesse</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular emission is the key source of air pollution in the urban environment. This includes both fine particles (PM<sub>2.5</sub>) and coarse particulate matters (PM<sub>10</sub>). However, particulate matter emissions from road traffic comprise emissions from exhaust tailpipe and emissions due to wear and tear of the vehicle part such as brake, tire and clutch and re-suspension of dust (non-exhaust emission). This study estimates the share of the two sources of pollutant particle emissions from on-roadside vehicles in the Addis Ababa municipality, Ethiopia. To calculate its share, two methods were applied; the exhaust-tailpipe emissions were calculated using the Europeans emission inventory Tier II method and Tier I for the non-exhaust emissions (like vehicle tire wear, brake, and road surface wear). The results show that of the total traffic-related particulate emissions in the city, 63% emitted from vehicle exhaust and the remaining 37% from non-exhaust sources. The annual roads transport exhaust emission shares around 2394 tons of particles from all vehicle categories. However, from the total yearly non-exhaust particulate matter emissions’ contribution, tire and brake wear shared around 65% and 35% emanated by road-surface wear. Furthermore, vehicle tire and brake wear were responsible for annual 584.8 tons of coarse particles (PM<sub>10</sub>) and 314.4 tons of fine particle matter (PM<sub>2.5</sub>) emissions in the city whereas surface wear emissions were responsible for around 313.7 tons of PM<sub>10</sub> and 169.9 tons of PM<sub>2.5</sub> pollutant emissions in the city. This suggests that non-exhaust sources might be as significant as exhaust sources and have a considerable contribution to the impact on air quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Addis%20Ababa" title="Addis Ababa">Addis Ababa</a>, <a href="https://publications.waset.org/abstracts/search?q=automotive%20emission" title=" automotive emission"> automotive emission</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20estimation" title=" emission estimation"> emission estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matters" title=" particulate matters "> particulate matters </a> </p> <a href="https://publications.waset.org/abstracts/124798/estimation-of-exhaust-and-non-exhaust-particulate-matter-emissions-share-from-on-road-vehicles-in-addis-ababa-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/124798.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1496</span> Climate Change Effects of Vehicular Carbon Monoxide Emission from Road Transportation in Part of Minna Metropolis, Niger State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20M.%20Liman">H. M. Liman</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20M.%20Suleiman%20%20A.%20A.%20David"> Y. M. Suleiman A. A. David </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Poor air quality often considered one of the greatest environmental threats facing the world today is caused majorly by the emission of carbon monoxide into the atmosphere. The principal air pollutant is carbon monoxide. One prominent source of carbon monoxide emission is the transportation sector. Not much was known about the emission levels of carbon monoxide, the primary pollutant from the road transportation in the study area. Therefore, this study assessed the levels of carbon monoxide emission from road transportation in the Minna, Niger State. The database shows the carbon monoxide data collected. MSA Altair gas alert detector was used to take the carbon monoxide emission readings in Parts per Million for the peak and off-peak periods of vehicular movement at the road intersections. Their Global Positioning System (GPS) coordinates were recorded in the Universal Transverse Mercator (UTM). Bar chart graphs were plotted by using the emissions level of carbon dioxide as recorded on the field against the scientifically established internationally accepted safe limit of 8.7 Parts per Million of carbon monoxide in the atmosphere. Further statistical analysis was also carried out on the data recorded from the field using the Statistical Package for Social Sciences (SPSS) software and Microsoft excel to show the variance of the emission levels of each of the parameters in the study area. The results established that emissions’ level of atmospheric carbon monoxide from the road transportation in the study area exceeded the internationally accepted safe limits of 8.7 parts per million. In addition, the variations in the average emission levels of CO between the four parameters showed that morning peak is having the highest average emission level of 24.5PPM followed by evening peak with 22.84PPM while morning off peak is having 15.33 and the least is evening off peak 12.94PPM. Based on these results, recommendations made for poor air quality mitigation via carbon monoxide emissions reduction from transportation include Introduction of the urban mass transit would definitely reduce the number of traffic on the roads, hence the emissions from several vehicles that would have been on the road. This would also be a cheaper means of transportation for the masses and Encouraging the use of vehicles using alternative sources of energy like solar, electric and biofuel will also result in less emission levels as the these alternative energy sources other than fossil fuel originated diesel and petrol vehicles do not emit especially carbon monoxide. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carbon%20monoxide" title="carbon monoxide">carbon monoxide</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change%20emissions" title=" climate change emissions"> climate change emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20transportation" title=" road transportation"> road transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular" title=" vehicular"> vehicular</a> </p> <a href="https://publications.waset.org/abstracts/38061/climate-change-effects-of-vehicular-carbon-monoxide-emission-from-road-transportation-in-part-of-minna-metropolis-niger-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38061.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1495</span> Assessment of Vehicular Emission and Its Impact on Urban Air Quality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Syed%20Imran%20Hussain%20Shah">Syed Imran Hussain Shah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Air pollution rapidly impacts the Earth's climate and environmental quality, causing public health nuisances and cardio-pulmonary illnesses. Air pollution is a global issue, and all population groups in all the regions in the developed and developing parts of the world were affected by it. The promise of a reduction in deaths and diseases as per SDG No. 3 is an international commitment towards sustainable development. In that context, assessing and evaluating the ambient air quality is paramount. This article estimates the air pollution released by the vehicles on roads of Lahore, a mega city having 13.98 million populations. A survey was conducted on different fuel stations to determine the estimated fuel pumped to different types of vehicles from different fuel stations. The number of fuel stations in Lahore is around 350. Another survey was also conducted to interview the drivers to know the per-litre fuel consumption of other vehicles. Therefore, a survey was conducted on 189 fuel stations and 400 drivers using a combination of random sampling and convenience sampling methods. The sampling was done in a manner to cover all areas of the city including central commercial hubs, modern housing societies, industrial zones, main highways, old traditional population centres, etc. Mathematical equations were also used to estimate the emissions from different modes of vehicles. Due to the increase in population, the number of vehicles is increasing, and consequently, traffic emissions were rising at a higher level. Motorcycles, auto rickshaws, motor cars, and vans were the main contributors to Carbon dioxide and vehicular emissions in the air. It has been observed that vehicles that use petrol fuel produce more Carbon dioxide emissions in the air. Buses and trucks were the main contributors to NOx in the air due to the use of diesel fuel. Whereas vans, buses, and trucks produce the maximum amount of SO2. PM10 and PM2.5 were mainly produced by motorcycles and motorcycle two-stroke rickshaws. Auto rickshaws and motor cars mainly produce benzene emissions. This study may act as a major tool for traffic and vehicle policy decisions to promote better fuel quality and more fuel-efficient vehicles to reduce emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title="particulate matter">particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrogen%20dioxide" title=" nitrogen dioxide"> nitrogen dioxide</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title=" climate change"> climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20control" title=" pollution control"> pollution control</a> </p> <a href="https://publications.waset.org/abstracts/191244/assessment-of-vehicular-emission-and-its-impact-on-urban-air-quality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191244.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">13</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1494</span> Experimental Measurement for Vehicular Communication Evaluation Using Obu Arada System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aymen%20Sassi">Aymen Sassi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The equipment of vehicles with wireless communication capabilities is expected to be the key to the evolution to next generation intelligent transportation systems (ITS). The IEEE community has been continuously working on the development of an efficient vehicular communication protocol for the enhancement of Wireless Access in Vehicular Environment (WAVE). Vehicular communication systems, called V2X, support vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. The efficiency of such communication systems depends on several factors, among which the surrounding environment and mobility are prominent. Accordingly, this study focuses on the evaluation of the real performance of vehicular communication with special focus on the effects of the real environment and mobility on V2X communication. It starts by identifying the real maximum range that such communication can support and then evaluates V2I and V2V performances. The Arada LocoMate OBU transmission system was used to test and evaluate the impact of the transmission range in V2X communication. The evaluation of V2I and V2V communication takes the real effects of low and high mobility on transmission into account. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IEEE%20802.11p" title="IEEE 802.11p">IEEE 802.11p</a>, <a href="https://publications.waset.org/abstracts/search?q=V2I" title=" V2I"> V2I</a>, <a href="https://publications.waset.org/abstracts/search?q=V2X" title=" V2X"> V2X</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=PLR" title=" PLR"> PLR</a>, <a href="https://publications.waset.org/abstracts/search?q=Arada%20LocoMate%20OBU" title=" Arada LocoMate OBU"> Arada LocoMate OBU</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20range" title=" maximum range"> maximum range</a> </p> <a href="https://publications.waset.org/abstracts/27556/experimental-measurement-for-vehicular-communication-evaluation-using-obu-arada-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27556.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1493</span> PIN-Diode Based Slotted Reconfigurable Multiband Antenna Array for Vehicular Communication </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gaurav%20Upadhyay">Gaurav Upadhyay</a>, <a href="https://publications.waset.org/abstracts/search?q=Nand%20Kishore"> Nand Kishore</a>, <a href="https://publications.waset.org/abstracts/search?q=Prashant%20Ranjan"> Prashant Ranjan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shivesh%20Tripathi"> Shivesh Tripathi</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20S.%20Tripathi"> V. S. Tripathi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a patch antenna array design is proposed for vehicular communication. The antenna consists of 2-element patch array. The antenna array is operating at multiple frequency bands. The multiband operation is achieved by use of slots at proper locations at the patch. The array is made reconfigurable by use of two PIN-diodes. The antenna is simulated and measured in four states of diodes i.e. ON-ON, ON-OFF, OFF-ON, and OFF-OFF. In ON-ON state of diodes, the resonant frequencies are 4.62-4.96, 6.50-6.75, 6.90-7.01, 7.34-8.22, 8.89-9.09 GHz. In ON-OFF state of diodes, the measured resonant frequencies are 4.63-4.93, 6.50-6.70 and 7.81-7.91 GHz. In OFF-ON states of diodes the resonant frequencies are 1.24-1.46, 3.40-3.75, 5.07-5.25 and 6.90-7.20 GHz and in the OFF-OFF state of diodes 4.49-4.75 and 5.61-5.98 GHz. The maximum bandwidth of the proposed antenna is 16.29%. The peak gain of the antenna is 3.4 dB at 5.9 GHz, which makes it suitable for vehicular communication. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antenna" title="antenna">antenna</a>, <a href="https://publications.waset.org/abstracts/search?q=array" title=" array"> array</a>, <a href="https://publications.waset.org/abstracts/search?q=reconfigurable" title=" reconfigurable"> reconfigurable</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular" title=" vehicular"> vehicular</a> </p> <a href="https://publications.waset.org/abstracts/85090/pin-diode-based-slotted-reconfigurable-multiband-antenna-array-for-vehicular-communication" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85090.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1492</span> ECO ROADS: A Solution to the Vehicular Pollution on Roads</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Harshit%20Garg">Harshit Garg</a>, <a href="https://publications.waset.org/abstracts/search?q=Shakshi%20Gupta"> Shakshi Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the major problems in today’s world is the growing pollution. The cause for all environmental problems is the increasing pollution rate. Looking upon the statistics, one can find out that most of the pollution is caused by the vehicular pollution which is more than 70 % of the total pollution, effecting the environment as well as human health proportionally. One is aware of the fact that vehicles run on roads so why not having the roads which could adsorb that pollution, not only once but a number of times. Every problem has a solution which can be solved by the state of art of technology, that is one can use the innovative ideas and thoughts to make technology as a solution to the problem of vehicular pollution on roads. Solving the problem up to a certain limit/ percentage can be formulated into a new term called ECO ROADS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environment" title="environment">environment</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution" title=" pollution"> pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=roads" title=" roads"> roads</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainibility" title=" sustainibility"> sustainibility</a> </p> <a href="https://publications.waset.org/abstracts/35026/eco-roads-a-solution-to-the-vehicular-pollution-on-roads" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">557</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1491</span> Comparative Analysis of Benzene, Toluene, Ethylbenzene, and Xylene Concentrations at Roadside and Urban Background Sites in Leicester and Lagos Using Thermal Desorption-Gas Chromatography-Mass Spectrometry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Bernard">Emmanuel Bernard</a>, <a href="https://publications.waset.org/abstracts/search?q=Rebecca%20L.%20Cordell"> Rebecca L. Cordell</a>, <a href="https://publications.waset.org/abstracts/search?q=Akeem%20A.%20Abayomi"> Akeem A. Abayomi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rose%20Alani"> Rose Alani</a>, <a href="https://publications.waset.org/abstracts/search?q=Paul%20S.%20Monks"> Paul S. Monks</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the prevalence and extent of BTEX (Benzene, Toluene, Ethylbenzene, and Xylene) contamination in Leicester, United Kingdom, and Lagos, Nigeria, through field measurements at roadside (RS) and urban background (UB) sites. Using thermal desorption gas chromatography mass spectrometry (TD-GC-MS), BTEX concentrations were quantified. In Leicester, the average RS concentration was 24.9 ± 8.9 μg/m³, and the UB concentration was 12.7 ± 5.7 μg/m³. In Lagos, the RS concentration was significantly higher at 106 ± 39.3 μg/m³, and the UB concentration was 20.1 ± 8.9 μg/m³. The RS concentration in Lagos was approximately 4.3 times higher than in Leicester, while the UB concentration was about 1.6 times higher. These disparities are attributed to differences in road infrastructure, traffic regulation compliance, fuel and oil quality, and local activities. In Leicester, the highest UB concentration (20.5 ± 1.7 μg/m³) was at Knighton Village, near the heavily polluted RS Wigston roundabout. In Lagos, the highest concentration (172.1 ± 12.2 μg/m³) was at Ojuelegba, a major transportation hub. Correlation analysis revealed strong positive relationships between the concentrations of BTEX compounds in both cities, suggesting common sources such as vehicular emissions and industrial activities. The ratios of toluene to benzene (T:B) and m/p xylene to ethylbenzene (m/p X:E) were analysed to infer source contributions and the photochemical age of air masses. The T:B ratio in Leicester ranged from 0.44 to 0.71, while in Lagos, it ranged from 1.36 to 2.17. The m/p X:E ratio in Leicester ranged from 2.11 to 2.19, like other UK cities, while in Lagos, it ranged from 1.65 to 2.32, indicating relatively fresh emissions. This study highlights significant differences in BTEX concentrations between Leicester and Lagos, emphasizing the need for tailored pollution control strategies to address the specific sources and conditions in different urban environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=BTEX%20contamination" title="BTEX contamination">BTEX contamination</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20air%20quality" title=" urban air quality"> urban air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20desorption%20GC-MS" title=" thermal desorption GC-MS"> thermal desorption GC-MS</a>, <a href="https://publications.waset.org/abstracts/search?q=roadside%20emissions" title=" roadside emissions"> roadside emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20background%20sites" title=" urban background sites"> urban background sites</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions" title=" vehicular emissions"> vehicular emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20control%20strategies" title=" pollution control strategies"> pollution control strategies</a> </p> <a href="https://publications.waset.org/abstracts/186333/comparative-analysis-of-benzene-toluene-ethylbenzene-and-xylene-concentrations-at-roadside-and-urban-background-sites-in-leicester-and-lagos-using-thermal-desorption-gas-chromatography-mass-spectrometry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186333.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">46</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1490</span> The Impact of PM-Based Regulations on the Concentration and Sources of Fine Organic Carbon in the Los Angeles Basin from 2005 to 2015</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulmalik%20Altuwayjiri">Abdulmalik Altuwayjiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Milad%20Pirhadi"> Milad Pirhadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sina%20Taghvaee"> Sina Taghvaee</a>, <a href="https://publications.waset.org/abstracts/search?q=Constantinos%20Sioutas"> Constantinos Sioutas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A significant portion of PM₂.₅ mass concentration is carbonaceous matter (CM), which majorly exists in the form of organic carbon (OC). Ambient OC originates from a multitude of sources and plays an important role in global climate effects, visibility degradation, and human health. In this study, positive matrix factorization (PMF) was utilized to identify and quantify the long-term contribution of PM₂.₅ sources to total OC mass concentration in central Los Angeles (CELA) and Riverside (i.e., receptor site), using the chemical speciation network (CSN) database between 2005 and 2015, a period during which several state and local regulations on tailpipe emissions were implemented in the area. Our PMF resolved five different factors, including tailpipe emissions, non-tailpipe emissions, biomass burning, secondary organic aerosol (SOA), and local industrial activities for both sampling sites. The contribution of vehicular exhaust emissions to the OC mass concentrations significantly decreased from 3.5 µg/m³ in 2005 to 1.5 µg/m³ in 2015 (by about 58%) at CELA, and from 3.3 µg/m³ in 2005 to 1.2 µg/m³ in 2015 (by nearly 62%) at Riverside. Additionally, SOA contribution to the total OC mass, showing higher levels at the receptor site, increased from 23% in 2005 to 33% and 29% in 2010 and 2015, respectively, in Riverside, whereas the corresponding contribution at the CELA site was 16%, 21% and 19% during the same period. The biomass burning maintained an almost constant relative contribution over the whole period. Moreover, while the adopted regulations and policies were very effective at reducing the contribution of tailpipe emissions, they have led to an overall increase in the fractional contributions of non-tailpipe emissions to total OC in CELA (about 14%, 28%, and 28% in 2005, 2010 and 2015, respectively) and Riverside (22%, 27% and 26% in 2005, 2010 and 2015), underscoring the necessity to develop equally effective mitigation policies targeting non-tailpipe PM emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%82.%E2%82%85" title="PM₂.₅">PM₂.₅</a>, <a href="https://publications.waset.org/abstracts/search?q=organic%20carbon" title=" organic carbon"> organic carbon</a>, <a href="https://publications.waset.org/abstracts/search?q=Los%20Angeles%20megacity" title=" Los Angeles megacity"> Los Angeles megacity</a>, <a href="https://publications.waset.org/abstracts/search?q=PMF" title=" PMF"> PMF</a>, <a href="https://publications.waset.org/abstracts/search?q=source%20apportionment" title=" source apportionment"> source apportionment</a>, <a href="https://publications.waset.org/abstracts/search?q=non-tailpipe%20emissions" title=" non-tailpipe emissions"> non-tailpipe emissions</a> </p> <a href="https://publications.waset.org/abstracts/136546/the-impact-of-pm-based-regulations-on-the-concentration-and-sources-of-fine-organic-carbon-in-the-los-angeles-basin-from-2005-to-2015" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136546.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1489</span> Vehicle Activity Characterization Approach to Quantify On-Road Mobile Source Emissions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hatem%20Abou-Senna">Hatem Abou-Senna</a>, <a href="https://publications.waset.org/abstracts/search?q=Essam%20Radwan"> Essam Radwan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transportation agencies and researchers in the past have estimated emissions using one average speed and volume on a long stretch of roadway. Other methods provided better accuracy utilizing annual average estimates. Travel demand models provided an intermediate level of detail through average daily volumes. Currently, higher accuracy can be established utilizing microscopic analyses by splitting the network links into sub-links and utilizing second-by-second trajectories to calculate emissions. The need to accurately quantify transportation-related emissions from vehicles is essential. This paper presents an examination of four different approaches to capture the environmental impacts of vehicular operations on a 10-mile stretch of Interstate 4 (I-4), an urban limited access highway in Orlando, Florida. First, (at the most basic level), emissions were estimated for the entire 10-mile section 'by hand' using one average traffic volume and average speed. Then, three advanced levels of detail were studied using VISSIM/MOVES to analyze smaller links: average speeds and volumes (AVG), second-by-second link drive schedules (LDS), and second-by-second operating mode distributions (OPMODE). This paper analyzes how the various approaches affect predicted emissions of CO, NOx, PM2.5, PM10, and CO2. The results demonstrate that obtaining precise and comprehensive operating mode distributions on a second-by-second basis provides more accurate emission estimates. Specifically, emission rates are highly sensitive to stop-and-go traffic and the associated driving cycles of acceleration, deceleration, and idling. Using the AVG or LDS approach may overestimate or underestimate emissions, respectively, compared to an operating mode distribution approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=limited%20access%20highways" title="limited access highways">limited access highways</a>, <a href="https://publications.waset.org/abstracts/search?q=MOVES" title=" MOVES"> MOVES</a>, <a href="https://publications.waset.org/abstracts/search?q=operating%20mode%20distribution%20%28OPMODE%29" title=" operating mode distribution (OPMODE)"> operating mode distribution (OPMODE)</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20emissions" title=" transportation emissions"> transportation emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20specific%20power%20%28VSP%29" title=" vehicle specific power (VSP)"> vehicle specific power (VSP)</a> </p> <a href="https://publications.waset.org/abstracts/34796/vehicle-activity-characterization-approach-to-quantify-on-road-mobile-source-emissions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34796.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">339</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1488</span> Effect of On-Road Vehicular Traffic on Noise Pollution in Bhubaneswar City, Eastern India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dudam%20Bharath%20Kumar">Dudam Bharath Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Harsh%20Kumar"> Harsh Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Naveed%20Ahmed"> Naveed Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular traffic on the road-side plays a significant role in affecting the noise pollution in most of the cities over the world. To assess the correlation of the road-traffic on noise pollution in the city environment, continuous measurements were carried out in an entire daytime starting from 8:00 AM IST to 6:00 PM IST at a single point for each 5 minutes (8:00-8:05, 9:00-9:05, 10:00-10:05 AM, ...) near the KIIT University campus road. Noise levels were observed using a mobile operated app of android cell phone and a handheld noise meter. Calibration analysis shows high correlation about 0.89 for the study location for the day time period. Results show diurnal variability of atmospheric noise pollution levels go hand-in and with the vehicular number which pass through a point of observation. The range of noise pollution levels in the daytime period is observed as 55 to 75 dB(A). As a day starts, sudden upsurge of noise levels is observed from 65 to 71 dB(A) in the early morning, 64 dB(A) in late morning, regains the same quantity 68-71 dB(A) in the afternoon, and rises 70 dB(A) in the early evening. Vehicular number of the corresponding noise levels exhibits 115-120, 150-160, and 140-160, respectively. However, this preliminary study suggests the importance of vehicular traffic on noise pollution levels in the urban environment and further to study population exposed to noise levels. Innovative approaches help curb the noise pollution through modelling the traffic noise pollution spatially and temporally over the city environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=noise%20pollution" title="noise pollution">noise pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20traffic" title=" vehicular traffic"> vehicular traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20environment" title=" urban environment"> urban environment</a>, <a href="https://publications.waset.org/abstracts/search?q=noise%20meter" title=" noise meter"> noise meter</a> </p> <a href="https://publications.waset.org/abstracts/85094/effect-of-on-road-vehicular-traffic-on-noise-pollution-in-bhubaneswar-city-eastern-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85094.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">297</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1487</span> VANETs Geographic Routing Protocols: A survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ramin%20Karimi">Ramin Karimi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of common highly mobile wireless ad hoc networks is Vehicular Ad Hoc Networks. Hence routing in vehicular ad hoc network (VANET) has attracted much attention during the last few years. VANET is characterized by its high mobility of nodes and specific topology patterns. Moreover these networks encounter a significant loss rate and a very short duration of communication. In vehicular ad hoc networks, one of challenging is routing of data due to high speed mobility and changing topology of vehicles. Geographic routing protocols are becoming popular due to advancement and availability of GPS devices. Delay Tolerant Networks (DTNs) are a class of networks that enable communication where connectivity issues like sparse connectivity, intermittent connectivity; high latency, long delay, high error rates, asymmetric data rate, and even no end-to-end connectivity exist. In this paper, we review the existing Geographic Routing Protocols for VANETs and also provide a qualitative comparison of them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicular%20ad%20hoc%20networks" title="vehicular ad hoc networks">vehicular ad hoc networks</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20routing" title=" geographic routing"> geographic routing</a>, <a href="https://publications.waset.org/abstracts/search?q=delay%20tolerant%20networks" title=" delay tolerant networks"> delay tolerant networks</a> </p> <a href="https://publications.waset.org/abstracts/34821/vanets-geographic-routing-protocols-a-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34821.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">520</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1486</span> Calculation of Methane Emissions from Wetlands in Slovakia via IPCC Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jozef%20Mindas">Jozef Mindas</a>, <a href="https://publications.waset.org/abstracts/search?q=Jana%20Skvareninova"> Jana Skvareninova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wetlands are a main natural source of methane emissions, but they also represent the important biodiversity reservoirs in the landscape. There are about 26 thousands hectares of wetlands in Slovakia identified via the wetlands monitoring program. Created database of wetlands in Slovakia allows to analyze several ecological processes including also the methane emissions estimate. Based on the information from the database, the first estimate of the methane emissions from wetlands in Slovakia has been done. The IPCC methodology (Tier 1 approach) has been used with proposed emission factors for the ice-free period derived from the climatic data. The highest methane emissions of nearly 550 Gg are associated with the category of fens. Almost 11 Gg of methane is emitted from bogs, and emissions from flooded lands represent less than 8 Gg. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bogs" title="bogs">bogs</a>, <a href="https://publications.waset.org/abstracts/search?q=methane%20emissions" title=" methane emissions"> methane emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=Slovakia" title=" Slovakia"> Slovakia</a>, <a href="https://publications.waset.org/abstracts/search?q=wetlands" title=" wetlands"> wetlands</a> </p> <a href="https://publications.waset.org/abstracts/52427/calculation-of-methane-emissions-from-wetlands-in-slovakia-via-ipcc-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52427.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">284</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1485</span> Analysis of the CO2 Emissions of Public Passenger Transport in Tianjin City of China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tao%20Zhao">Tao Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Xianshuo%20Xu"> Xianshuo Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Low-carbon public passenger transport is an important part of low carbon city. The CO<sub>2</sub> emissions of public passenger transport in Tianjin from 1995 to 2010 are estimated with IPCC CO<sub>2</sub> counting method, which shows that the total CO<sub>2</sub> emissions of Tianjin public passenger transport have gradually become stable at 1,425.1 thousand tons. And then the CO<sub>2</sub> emissions of the buses, taxies, and rail transits are calculated respectively. A CO<sub>2</sub> emission of 829.9 thousand tons makes taxies become the largest CO<sub>2</sub> emissions source among the public passenger transport in Tianjin. Combining with passenger volume, this paper analyzes the CO<sub>2</sub> emissions proportion of the buses, taxies, and rail transits compare the passenger transport rate with the proportion of CO<sub>2</sub> emissions, as well as the CO<sub>2</sub> emissions change of per 10,000 people. The passenger volume proportion of bus among the three public means of transport is 72.62% which is much higher than its CO<sub>2</sub> emissions proportion of 36.01%, with the minimum number of CO<sub>2</sub> emissions per 10,000 people of 4.90 tons. The countermeasures to reduce CO<sub>2</sub> emissions of public passenger transport in Tianjin are to develop rail transit, update vehicles and use alternative fuel vehicles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=public%20passenger%20transport" title="public passenger transport">public passenger transport</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20emissions" title=" carbon emissions"> carbon emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=countermeasures" title=" countermeasures"> countermeasures</a>, <a href="https://publications.waset.org/abstracts/search?q=China" title=" China"> China</a> </p> <a href="https://publications.waset.org/abstracts/26131/analysis-of-the-co2-emissions-of-public-passenger-transport-in-tianjin-city-of-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26131.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1484</span> Comparative Study of Ad Hoc Routing Protocols in Vehicular Ad-Hoc Networks for Smart City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khadija%20Raissi">Khadija Raissi</a>, <a href="https://publications.waset.org/abstracts/search?q=Bechir%20Ben%20Gouissem"> Bechir Ben Gouissem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we perform the investigation of some routing protocols in Vehicular Ad-Hoc Network (VANET) context. Indeed, we study the efficiency of protocols like Dynamic Source Routing (DSR), Ad hoc On-demand Distance Vector Routing (AODV), Destination Sequenced Distance Vector (DSDV), Optimized Link State Routing convention (OLSR) and Vehicular Multi-hop algorithm for Stable Clustering (VMASC) in terms of packet delivery ratio (PDR) and throughput. The performance evaluation and comparison between the studied protocols shows that the VMASC is the best protocols regarding fast data transmission and link stability in VANETs. The validation of all results is done by the NS3 simulator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=VANET" title="VANET">VANET</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20city" title=" smart city"> smart city</a>, <a href="https://publications.waset.org/abstracts/search?q=AODV" title=" AODV"> AODV</a>, <a href="https://publications.waset.org/abstracts/search?q=OLSR" title=" OLSR"> OLSR</a>, <a href="https://publications.waset.org/abstracts/search?q=DSR" title=" DSR"> DSR</a>, <a href="https://publications.waset.org/abstracts/search?q=OLSR" title=" OLSR"> OLSR</a>, <a href="https://publications.waset.org/abstracts/search?q=VMASC" title=" VMASC"> VMASC</a>, <a href="https://publications.waset.org/abstracts/search?q=routing%20protocols" title=" routing protocols"> routing protocols</a>, <a href="https://publications.waset.org/abstracts/search?q=NS3" title=" NS3"> NS3</a> </p> <a href="https://publications.waset.org/abstracts/81898/comparative-study-of-ad-hoc-routing-protocols-in-vehicular-ad-hoc-networks-for-smart-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81898.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">297</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1483</span> Investigation of Main Operating Parameters Affecting Gas Turbine Efficiency and Gas Releases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farhat%20Hajer">Farhat Hajer</a>, <a href="https://publications.waset.org/abstracts/search?q=Khir%20Tahar"> Khir Tahar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Ben%20Brahim"> Ammar Ben Brahim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents a study on the influence of the main operating variables on the gas turbine cycle. A numerical simulation of a gas turbine cycle is performed for a real net power of 100 MW. A calculation code is developed using EES software. The operating variables are taken in conformity with the local environmental conditions adopted by the Tunisian Society of Electricity and Gas. Results show that the increase of ambient temperature leads to an increase of Tpz and NO<sub>x</sub> emissions rate and a decrease of cycle efficiency and UHC emissions. The CO emissions decrease with the raise of residence time, while NO<sub>x</sub> emissions rate increases and UHC emissions rate decreases. Furthermore, both of cycle efficiency and NOx emissions increase with the increase of the pressure ratio. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carbon%20monoxide" title="Carbon monoxide">Carbon monoxide</a>, <a href="https://publications.waset.org/abstracts/search?q=Efficiency" title=" Efficiency"> Efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=Emissions" title=" Emissions"> Emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=Gas%20Turbine" title=" Gas Turbine"> Gas Turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=Nox" title=" Nox"> Nox</a>, <a href="https://publications.waset.org/abstracts/search?q=UHC" title=" UHC"> UHC</a> </p> <a href="https://publications.waset.org/abstracts/69221/investigation-of-main-operating-parameters-affecting-gas-turbine-efficiency-and-gas-releases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69221.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">436</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1482</span> Economized Sensor Data Processing with Vehicle Platooning </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Henry%20Hexmoor">Henry Hexmoor</a>, <a href="https://publications.waset.org/abstracts/search?q=Kailash%20Yelasani"> Kailash Yelasani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present vehicular platooning as a special case of <em>crowd-sensing framework</em> where sharing sensory information among a crowd is used for their collective benefit. After offering an abstract policy that governs processes involving a vehicular platoon, we review several common scenarios and components surrounding vehicular platooning. We then present a simulated prototype that illustrates efficiency of road usage and vehicle travel time derived from platooning. We have argued that one of the paramount benefits of platooning that is overlooked elsewhere, is the substantial computational savings (i.e., economizing benefits) in acquisition and processing of sensory data among vehicles sharing the road. The most capable vehicle can share data gathered from its sensors with nearby vehicles grouped into a platoon. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20network" title="cloud network">cloud network</a>, <a href="https://publications.waset.org/abstracts/search?q=collaboration" title=" collaboration"> collaboration</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a> </p> <a href="https://publications.waset.org/abstracts/86306/economized-sensor-data-processing-with-vehicle-platooning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86306.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1481</span> On Board Measurement of Real Exhaust Emission of Light-Duty Vehicles in Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Kerbachi">R. Kerbachi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Chikhi"> S. Chikhi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Boughedaoui"> M. Boughedaoui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study presents an analysis of the Algerian vehicle fleet and resultant emissions. The emission measurement of air pollutants emitted by road transportation (CO, THC, NOX and CO2) was conducted on 17 light duty vehicles in real traffic. This sample is representative of the Algerian light vehicles in terms of fuel quality (gasoline, diesel and liquefied petroleum gas) and the technology quality (injection system and emission control). The experimental measurement methodology of unit emission of vehicles in real traffic situation is based on the use of the mini-Constant Volume Sampler for gas sampling and a set of gas analyzers for CO2, CO, NOx and THC, with an instrumentation to measure kinematics, gas temperature and pressure. The apparatus is also equipped with data logging instrument and data transfer. The results were compared with the database of the European light vehicles (Artemis). It was shown that the technological injection liquefied petroleum gas (LPG) has significant impact on air pollutants emission. Therefore, with the exception of nitrogen oxide compounds, uncatalyzed LPG vehicles are more effective in reducing emissions unit of air pollutants compared to uncatalyzed gasoline vehicles. LPG performance seems to be lower under real driving conditions than expected on chassis dynamometer. On the other hand, the results show that uncatalyzed gasoline vehicles emit high levels of carbon monoxide, and nitrogen oxides. Overall, and in the absence of standards in Algeria, unit emissions are much higher than Euro 3. The enforcement of pollutant emission standard in developing countries is an important step towards introducing cleaner technology and reducing vehicular emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=on-board%20measurements%20of%20unit%20emissions%20of%20CO" title="on-board measurements of unit emissions of CO">on-board measurements of unit emissions of CO</a>, <a href="https://publications.waset.org/abstracts/search?q=HC" title=" HC"> HC</a>, <a href="https://publications.waset.org/abstracts/search?q=NOx%20and%20CO2" title=" NOx and CO2"> NOx and CO2</a>, <a href="https://publications.waset.org/abstracts/search?q=light%20vehicles" title=" light vehicles"> light vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=mini-CVS" title=" mini-CVS"> mini-CVS</a>, <a href="https://publications.waset.org/abstracts/search?q=LPG-fuel" title=" LPG-fuel"> LPG-fuel</a>, <a href="https://publications.waset.org/abstracts/search?q=artemis" title=" artemis"> artemis</a>, <a href="https://publications.waset.org/abstracts/search?q=Algeria" title=" Algeria"> Algeria</a> </p> <a href="https://publications.waset.org/abstracts/37645/on-board-measurement-of-real-exhaust-emission-of-light-duty-vehicles-in-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37645.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1480</span> Investigation of the Effects of Biodiesel Blend on Particulate-Phase Exhaust Emissions from a Light Duty Diesel Vehicle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Wang">B. Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20H.%20Or"> W. H. Or</a>, <a href="https://publications.waset.org/abstracts/search?q=S.C.%20Lee"> S.C. Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.C.%20Leung"> Y.C. Leung</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Organ"> B. Organ</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents an investigation of diesel vehicle particulate-phase emissions with neat ultralow sulphur diesel (B0, ULSD) and 5% waste cooking oil-based biodiesel blend (B5) in Hong Kong. A Euro VI light duty diesel vehicle was tested under transient (New European Driving Cycle (NEDC)), steady-state and idling on a chassis dynamometer. Chemical analyses including organic carbon (OC), elemental carbon (EC), as well as 30 polycyclic aromatic hydrocarbons (PAHs) and 10 oxygenated PAHs (oxy-PAHs) were conducted. The OC fuel-based emission factors (EFs) for B0 ranged from 2.86 ± 0.33 to 7.19 ± 1.51 mg/kg, and those for B5 ranged from 4.31 ± 0.64 to 15.36 ± 3.77 mg/kg, respectively. The EFs of EC were low for both fuel blends (0.25 mg/kg or below). With B5, the EFs of total PAHs were decreased as compared to B0. Specifically, B5 reduced total PAH emissions by 50.2%, 30.7%, and 15.2% over NEDC, steady-state and idling, respectively. It was found that when B5 was used, PAHs and oxy-PAHs with lower molecular weight (2 to 3 rings) were reduced whereas PAHs/oxy-PAHs with medium or high molecular weight (4 to 7 rings) were increased. Our study suggests the necessity of taking atmospheric and health factors into account for biodiesel application as an alternative motor fuel. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biodiesel" title="biodiesel">biodiesel</a>, <a href="https://publications.waset.org/abstracts/search?q=OC%2FEC" title=" OC/EC"> OC/EC</a>, <a href="https://publications.waset.org/abstracts/search?q=PAHs" title=" PAHs"> PAHs</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20emission" title=" vehicular emission"> vehicular emission</a> </p> <a href="https://publications.waset.org/abstracts/134611/investigation-of-the-effects-of-biodiesel-blend-on-particulate-phase-exhaust-emissions-from-a-light-duty-diesel-vehicle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134611.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">171</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1479</span> Driver Behavior Analysis and Inter-Vehicular Collision Simulation Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lu%20Zhao">Lu Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Nadir%20Farhi"> Nadir Farhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Zoi%20Christoforou"> Zoi Christoforou</a>, <a href="https://publications.waset.org/abstracts/search?q=Nadia%20Haddadou"> Nadia Haddadou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The safety test of deploying intelligent connected vehicles (ICVs) on the road network is a critical challenge. Road traffic network simulation can be used to test the functionality of ICVs, which is not only time-saving and less energy-consuming but also can create scenarios with car collisions. However, the relationship between different human driver behaviors and the car-collision occurrences has been not understood clearly; meanwhile, the procedure of car-collisions generation in the traffic numerical simulators is not fully integrated. In this paper, we propose an approach to identify specific driver profiles from real driven data; then, we replicate them in numerical traffic simulations with the purpose of generating inter-vehicular collisions. We proposed three profiles: (i) 'aggressive': short time-headway, (ii) 'inattentive': long reaction time, and (iii) 'normal' with intermediate values of reaction time and time-headway. These three driver profiles are extracted from the NGSIM dataset and simulated using the intelligent driver model (IDM), with an extension of reaction time. At last, the generation of inter-vehicular collisions is performed by varying the percentages of different profiles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicular%20collisions" title="vehicular collisions">vehicular collisions</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20driving%20behavior" title=" human driving behavior"> human driving behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20modeling" title=" traffic modeling"> traffic modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=car-following%20models" title=" car-following models"> car-following models</a>, <a href="https://publications.waset.org/abstracts/search?q=microscopic%20traffic%20simulation" title=" microscopic traffic simulation"> microscopic traffic simulation</a> </p> <a href="https://publications.waset.org/abstracts/139723/driver-behavior-analysis-and-inter-vehicular-collision-simulation-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139723.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">171</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1478</span> Energy Related Carbon Dioxide Emissions in Pakistan: A Decomposition Analysis Using LMDI </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arsalan%20Khan">Arsalan Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Faisal%20Jamil"> Faisal Jamil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The unprecedented increase in anthropogenic gases in recent decades has led to climatic changes worldwide. CO2 emissions are the most important factors responsible for greenhouse gases concentrations. This study decomposes the changes in overall CO2 emissions in Pakistan for the period 1990-2012 using Log Mean Divisia Index (LMDI). LMDI enables to decompose the changes in CO2 emissions into five factors namely; activity effect, structural effect, intensity effect, fuel-mix effect, and emissions factor effect. This paper confirms an upward trend of overall emissions level of the country during the period. The study finds that activity effect, structural effect and intensity effect are the three major factors responsible for the changes in overall CO2 emissions in Pakistan with activity effect as the largest contributor to overall changes in the emissions level. The structural effect is also adding to CO2 emissions, which indicates that the economic activity is shifting towards more energy-intensive sectors. However, intensity effect has negative sign representing energy efficiency gains, which indicate a good relationship between the economy and environment. The findings suggest that policy makers should encourage the diversification of the output level towards more energy efficient sub-sectors of the economy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2%20emissions" title=" CO2 emissions"> CO2 emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=decomposition%20analysis" title=" decomposition analysis"> decomposition analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=LMDI" title=" LMDI"> LMDI</a>, <a href="https://publications.waset.org/abstracts/search?q=intensity%20effect" title=" intensity effect "> intensity effect </a> </p> <a href="https://publications.waset.org/abstracts/40962/energy-related-carbon-dioxide-emissions-in-pakistan-a-decomposition-analysis-using-lmdi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40962.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">398</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1477</span> A Multilevel Authentication Protocol: MAP in VANET for Human Safety</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Meddeb">N. Meddeb</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20M.%20Makhlouf"> A. M. Makhlouf</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Ben%20Ayed"> M. A. Ben Ayed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the real-time requirement of message in Vehicular Ad hoc NETworks (VANET), it is necessary to authenticate vehicles to achieve security, efficiency, and conditional privacy-preserving. Privacy is of utmost relevance in VANETs. For this reason, we have proposed a new protocol called ‘Multilevel Authentication Protocol’ (MAP) that considers different vehicle categories. The proposed protocol is based on our Multilevel Authentication protocol for Vehicular networks (MAVnet). But the MAP leads to human safety, where the priority is given to the ambulance vehicles. For evaluation, we used the Java language to develop a demo application and deployed it on the Network Security Simulation (Nessi2). Compared with existing authentication protocols, MAP markedly enhance the communication overhead and decreases the delay of exchanging messages while preserving conditional privacy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vehicular%20Ad%20hoc%20NETworks%20%28VANET%29" title="Vehicular Ad hoc NETworks (VANET)">Vehicular Ad hoc NETworks (VANET)</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20categories" title=" vehicle categories"> vehicle categories</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a>, <a href="https://publications.waset.org/abstracts/search?q=databases" title=" databases"> databases</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy" title=" privacy"> privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=authentication" title=" authentication"> authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=throughput" title=" throughput"> throughput</a>, <a href="https://publications.waset.org/abstracts/search?q=delay" title=" delay"> delay</a> </p> <a href="https://publications.waset.org/abstracts/87440/a-multilevel-authentication-protocol-map-in-vanet-for-human-safety" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87440.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">296</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1476</span> An Enhanced Connectivity Aware Routing Protocol for Vehicular Ad Hoc Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmadu%20Maidorawa">Ahmadu Maidorawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamalrulnizam%20Abu%20Bakar"> Kamalrulnizam Abu Bakar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposed an Enhanced Connectivity Aware Routing (ECAR) protocol for Vehicular Ad hoc Network (VANET). The protocol uses a control broadcast to reduce the number of overhead packets needed in a route discovery process. It is also equipped with an alternative backup route that is used whenever a primary path to destination failed, which highly reduces the frequent launching and re-launching of the route discovery process that waste useful bandwidth and unnecessarily prolonging the average packet delay. NS2 simulation results show that the performance of ECAR protocol outperformed the original connectivity aware routing (CAR) protocol by reducing the average packet delay by 28%, control overheads by 27% and increased the packet delivery ratio by 22%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alternative%20path" title="alternative path">alternative path</a>, <a href="https://publications.waset.org/abstracts/search?q=primary%20path" title=" primary path"> primary path</a>, <a href="https://publications.waset.org/abstracts/search?q=protocol" title=" protocol"> protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=routing" title=" routing"> routing</a>, <a href="https://publications.waset.org/abstracts/search?q=VANET" title=" VANET"> VANET</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20ad%20hoc%20networks" title=" vehicular ad hoc networks"> vehicular ad hoc networks</a> </p> <a href="https://publications.waset.org/abstracts/15880/an-enhanced-connectivity-aware-routing-protocol-for-vehicular-ad-hoc-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15880.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">402</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1475</span> A Study of Carbon Emissions during Building Construction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jonggeon%20Lee">Jonggeon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungho%20Tae"> Sungho Tae</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungjoon%20Suk"> Sungjoon Suk</a>, <a href="https://publications.waset.org/abstracts/search?q=Keunhyeok%20Yang"> Keunhyeok Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=George%20Ford"> George Ford</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20E.%20Smith"> Michael E. Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Omidreza%20Shoghli"> Omidreza Shoghli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, research to reduce carbon emissions through quantitative assessment of building life cycle carbon emissions has been performed as it relates to the construction industry. However, most research efforts related to building carbon emissions assessment have been focused on evaluation during the operational phase of a building’s life span. Few comprehensive studies of the carbon emissions during a building’s construction phase have been performed. The purpose of this study is to propose an assessment method that quantitatively evaluates the carbon emissions of buildings during the construction phase. The study analysed the amount of carbon emissions produced by 17 construction trades, and selected four construction trades that result in high levels of carbon emissions: reinforced concrete work; sheathing work; foundation work; and form work. Building materials, and construction and transport equipment used for the selected construction trades were identified, and carbon emissions produced by the identified materials and equipment were calculated for these four construction trades. The energy consumption of construction and transport equipment was calculated by analysing fuel efficiency and equipment productivity rates. The combination of the expected levels of carbon emissions associated with the utilization of building materials and construction equipment provides means for estimating the quantity of carbon emissions related to the construction phase of a building’s life cycle. The proposed carbon emissions assessment method was validated by case studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20construction%20phase" title="building construction phase">building construction phase</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20emissions%20assessment" title=" carbon emissions assessment"> carbon emissions assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20life%20cycle" title=" building life cycle "> building life cycle </a> </p> <a href="https://publications.waset.org/abstracts/29496/a-study-of-carbon-emissions-during-building-construction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29496.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">751</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1474</span> Framework Development of Carbon Management Software Tool in Sustainable Supply Chain Management of Indian Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarbjit%20Singh">Sarbjit Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This framework development explored the status of GSCM in manufacturing SMEs and concluded that there was a significant gap w.r.t carbon emissions measurement in the supply chain activities. The measurement of carbon emissions within supply chains is important green initiative toward its reduction. The majority of the SMEs were facing the problem to quantify the green house gas emissions in its supply chain & to make it a low carbon supply chain or GSCM. Thus, the carbon management initiatives were amalgamated with the supply chain activities in order to measure and reduce the carbon emissions, confirming the GHG protocol scopes. Henceforth, it covers the development of carbon management software (CMS) tool to quantify carbon emissions for effective carbon management. This tool is cheap and easy to use for the industries for the management of their carbon emissions within the supply chain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=w.r.t%20carbon%20emissions" title="w.r.t carbon emissions">w.r.t carbon emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20management%20software" title=" carbon management software"> carbon management software</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title=" supply chain management"> supply chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20Industry" title=" Indian Industry"> Indian Industry</a> </p> <a href="https://publications.waset.org/abstracts/3784/framework-development-of-carbon-management-software-tool-in-sustainable-supply-chain-management-of-indian-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3784.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">468</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1473</span> Broadcast Routing in Vehicular Ad hoc Networks (VANETs)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muazzam%20A.%20Khan">Muazzam A. Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Wasim"> Muhammad Wasim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular adhoc network (VANET) Cars for network (VANET) allowing vehicles to talk to each other, which is committed to building a strong network of mobile vehicles is technical. In VANETs vehicles are equipped with special devices that can get and share info with the atmosphere and other vehicles in the network. Depending on this data security and safety of the vehicles can be enhanced. Broadcast routing is dispersion of any audio or visual medium of mass communication scattered audience distribute audio and video content, but usually using electromagnetic radiation (waves). The lack of server or fixed infrastructure media messages in VANETs plays an important role for every individual application. Broadcast Message VANETs still open research challenge and requires some effort to come to good solutions. This paper starts with a brief introduction of VANET, its applications, and the law of the message-trends in this network starts. This work provides an important and comprehensive study of reliable broadcast routing in VANET scenario. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicular%20ad-hoc%20network" title="vehicular ad-hoc network ">vehicular ad-hoc network </a>, <a href="https://publications.waset.org/abstracts/search?q=broadcasting" title=" broadcasting"> broadcasting</a>, <a href="https://publications.waset.org/abstracts/search?q=networking%20protocols" title=" networking protocols"> networking protocols</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20pattern" title=" traffic pattern"> traffic pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20intensity%20conflict" title=" low intensity conflict"> low intensity conflict</a> </p> <a href="https://publications.waset.org/abstracts/28117/broadcast-routing-in-vehicular-ad-hoc-networks-vanets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28117.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">532</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">‹</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions&page=5">5</a></li> <li class="page-item"><a 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href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions&page=51">51</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions&page=2" rel="next">›</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore 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