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monitoring</title> <meta name="description" content="Search results for: driver monitoring"> <meta name="keywords" content="driver monitoring"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="driver monitoring"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3568</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: driver monitoring</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3568</span> The Influence of Trait of Personality, Stress and Driver Behavior on Road Accident among Bas Driver in Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fikri">Fikri</a>, <a href="https://publications.waset.org/abstracts/search?q=Rozmi%20Ismail"> Rozmi Ismail</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatimah%20Wati%20Halim"> Fatimah Wati Halim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Waheeda"> Sarah Waheeda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this research is to investigate the influence of personality and driver behavior on road accident among bus driver who have the high risk behavior on road accident in Riau Province. The hypotheses proposed this research is there are has a significant influences of Treat of Personality and Driver Behavior among bus driver in Riau Province Indonesia. Subject participated in this research are 100 bus driver in Riau Province. This study using the purposive random sampling technique and quantitative design. The data is collected using the Big Five Personality questionnaires, Driver Behavior questionnaires and Road Accident Inventory. Research found that there are significant influence of personality and driver behavior on road accident among bus driver in Riau Province Indonesia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personality" title="personality">personality</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20behavior" title=" driver behavior"> driver behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20stress" title=" driver stress"> driver stress</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20accident" title=" road accident"> road accident</a> </p> <a href="https://publications.waset.org/abstracts/14832/the-influence-of-trait-of-personality-stress-and-driver-behavior-on-road-accident-among-bas-driver-in-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14832.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">484</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">3567</span> Methodology to Affirm Driver Engagement in Dynamic Driving Task (DDT) for a Level 2 Adas Feature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Praneeth%20Puvvula">Praneeth Puvvula</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Autonomy in has become increasingly common in modern automotive cars. There are 5 levels of autonomy as defined by SAE. This paper focuses on a SAE level 2 feature which, by definition, is able to control the vehicle longitudinally and laterally at the same time. The system keeps the vehicle centred with in the lane by detecting the lane boundaries while maintaining the vehicle speed. As with the features from SAE level 1 to level 3, the primary responsibility of dynamic driving task lies with the driver. This will need monitoring techniques to ensure the driver is always engaged even while the feature is active. This paper focuses on the these techniques, which would help the safe usage of the feature and provide appropriate warnings to the driver. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20driving" title="autonomous driving">autonomous driving</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a>, <a href="https://publications.waset.org/abstracts/search?q=adas" title=" adas"> adas</a>, <a href="https://publications.waset.org/abstracts/search?q=automotive%20technology" title=" automotive technology"> automotive technology</a> </p> <a href="https://publications.waset.org/abstracts/166616/methodology-to-affirm-driver-engagement-in-dynamic-driving-task-ddt-for-a-level-2-adas-feature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166616.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">89</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">3566</span> Improvement of Ground Truth Data for Eye Location on Infrared Driver Recordings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sorin%20Valcan">Sorin Valcan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihail%20Gaianu"> Mihail Gaianu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Labeling is a very costly and time consuming process which aims to generate datasets for training neural networks in several functionalities and projects. For driver monitoring system projects, the need for labeled images has a significant impact on the budget and distribution of effort. This paper presents the modifications done to an algorithm used for the generation of ground truth data for 2D eyes location on infrared images with drivers in order to improve the quality of the data and performance of the trained neural networks. The algorithm restrictions become tougher, which makes it more accurate but also less constant. The resulting dataset becomes smaller and shall not be altered by any kind of manual label adjustment before being used in the neural networks training process. These changes resulted in a much better performance of the trained neural networks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=labeling%20automation" title="labeling automation">labeling automation</a>, <a href="https://publications.waset.org/abstracts/search?q=infrared%20camera" title=" infrared camera"> infrared camera</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20monitoring" title=" driver monitoring"> driver monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=eye%20detection" title=" eye detection"> eye detection</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20networks" title=" convolutional neural networks"> convolutional neural networks</a> </p> <a href="https://publications.waset.org/abstracts/148969/improvement-of-ground-truth-data-for-eye-location-on-infrared-driver-recordings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148969.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">117</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">3565</span> Eco-Drive Predictive Analytics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sharif%20Muddsair">Sharif Muddsair</a>, <a href="https://publications.waset.org/abstracts/search?q=Eisels%20Martin"> Eisels Martin</a>, <a href="https://publications.waset.org/abstracts/search?q=Giesbrecht%20Eugenie"> Giesbrecht Eugenie </a> </p> <p class="card-text"><strong>Abstract:</strong></p> With development of society increase the demand for the movement of people also increases gradually. The various modes of the transport in different extent which expat impacts, which depends on mainly technical-operating conditions. The up-to-date telematics systems provide the transport industry a revolutionary. Appropriate use of these systems can help to substantially improve the efficiency. Vehicle monitoring and fleet tracking are among services used for improving efficiency and effectiveness of utility vehicle. There are many telematics systems which may contribute to eco-driving. Generally, they can be grouped according to their role in driving cycle. • Before driving - eco-route selection, • While driving – Advanced driver assistance, • After driving – remote analysis. Our point of interest is regulated in third point [after driving – remote analysis]. TS [Telematics-system] make it possible to record driving patterns in real time and analysis the data later on, So that driver- classification-specific hints [fast driver, slow driver, aggressive driver…)] are given to imitate eco-friendly driving style. Together with growing number of vehicle and development of information technology, telematics become an ‘active’ research subject in IT and the car industry. Telematics has gone a long way from providing navigation solution/assisting the driver to become an integral part of the vehicle. Today’s telematics ensure safety, comfort and become convenience of the driver. <p class="card-text"><strong>Keywords:</strong> <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=iot" title=" iot"> iot</a>, <a href="https://publications.waset.org/abstracts/search?q=connected%20vehicle" title=" connected vehicle"> connected vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=cv" title=" cv"> cv</a>, <a href="https://publications.waset.org/abstracts/search?q=ts" title=" ts"> ts</a>, <a href="https://publications.waset.org/abstracts/search?q=telematics%20services" title=" telematics services"> telematics services</a>, <a href="https://publications.waset.org/abstracts/search?q=ml" title=" ml"> ml</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/31164/eco-drive-predictive-analytics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31164.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">306</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">3564</span> Smart Side View Mirror Camera for Real Time System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nunziata%20Ivana%20Guarneri">Nunziata Ivana Guarneri</a>, <a href="https://publications.waset.org/abstracts/search?q=Arcangelo%20Bruna"> Arcangelo Bruna</a>, <a href="https://publications.waset.org/abstracts/search?q=Giuseppe%20Spampinato"> Giuseppe Spampinato</a>, <a href="https://publications.waset.org/abstracts/search?q=Antonio%20Buemi"> Antonio Buemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the last decade, automotive companies have invested a lot in terms of innovation about many aspects regarding the automatic driver assistance systems. One innovation regards the usage of a smart camera placed on the car’s side mirror for monitoring the back and lateral road situation. A common road scenario is the overtaking of the preceding car and, in this case, a brief distraction or a loss of concentration can lead the driver to undertake this action, even if there is an already overtaking vehicle, leading to serious accidents. A valid support for a secure drive can be a smart camera system, which is able to automatically analyze the road scenario and consequentially to warn the driver when another vehicle is overtaking. This paper describes a method for monitoring the side view of a vehicle by using camera optical flow motion vectors. The proposed solution detects the presence of incoming vehicles, assesses their distance from the host car, and warns the driver through different levels of alert according to the estimated distance. Due to the low complexity and computational cost, the proposed system ensures real time performances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20calibration" title="camera calibration">camera calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=ego-motion" title=" ego-motion"> ego-motion</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filters" title=" Kalman filters"> Kalman filters</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20tracking" title=" object tracking"> object tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20time%20systems" title=" real time systems"> real time systems</a> </p> <a href="https://publications.waset.org/abstracts/79998/smart-side-view-mirror-camera-for-real-time-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79998.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">228</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">3563</span> AI Software Algorithms for Drivers Monitoring within Vehicles Traffic - SiaMOTO</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ioan%20Corneliu%20Salisteanu">Ioan Corneliu Salisteanu</a>, <a href="https://publications.waset.org/abstracts/search?q=Valentin%20Dogaru%20Ulieru"> Valentin Dogaru Ulieru</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihaita%20Nicolae%20Ardeleanu"> Mihaita Nicolae Ardeleanu</a>, <a href="https://publications.waset.org/abstracts/search?q=Alin%20Pohoata"> Alin Pohoata</a>, <a href="https://publications.waset.org/abstracts/search?q=Bogdan%20Salisteanu"> Bogdan Salisteanu</a>, <a href="https://publications.waset.org/abstracts/search?q=Stefan%20Broscareanu"> Stefan Broscareanu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Creating a personalized statistic for an individual within the population using IT systems, based on the searches and intercepted spheres of interest they manifest, is just one 'atom' of the artificial intelligence analysis network. However, having the ability to generate statistics based on individual data intercepted from large demographic areas leads to reasoning like that issued by a human mind with global strategic ambitions. The DiaMOTO device is a technical sensory system that allows the interception of car events caused by a driver, positioning them in time and space. The device's connection to the vehicle allows the creation of a source of data whose analysis can create psychological, behavioural profiles of the drivers involved. The SiaMOTO system collects data from many vehicles equipped with DiaMOTO, driven by many different drivers with a unique fingerprint in their approach to driving. In this paper, we aimed to explain the software infrastructure of the SiaMOTO system, a system designed to monitor and improve driver driving behaviour, as well as the criteria and algorithms underlying the intelligent analysis process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20processing" title=" data processing"> data processing</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20behaviour" title=" driver behaviour"> driver behaviour</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20monitoring" title=" driver monitoring"> driver monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=SiaMOTO" title=" SiaMOTO"> SiaMOTO</a> </p> <a href="https://publications.waset.org/abstracts/177914/ai-software-algorithms-for-drivers-monitoring-within-vehicles-traffic-siamoto" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177914.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">91</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">3562</span> Advanced Driver Assistance System: Veibra</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Fernanda%20da%20S.%20Sampaio">C. Fernanda da S. Sampaio</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Gabriela%20Sadith%20Perez%20Paredes"> M. Gabriela Sadith Perez Paredes</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Antonio%20de%20O.%20Martins"> V. Antonio de O. Martins</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today the transport sector is undergoing a revolution, with the rise of Advanced Driver Assistance Systems (ADAS), industry and society itself will undergo a major transformation. However, the technological development of these applications is a challenge that requires new techniques and great machine learning and artificial intelligence. The study proposes to develop a vehicular perception system called Veibra, which consists of two front cameras for day/night viewing and an embedded device capable of working with Yolov2 image processing algorithms with low computational cost. The strategic version for the market is to assist the driver on the road with the detection of day/night objects, such as road signs, pedestrians, and animals that will be viewed through the screen of the phone or tablet through an application. The system has the ability to perform real-time driver detection and recognition to identify muscle movements and pupils to determine if the driver is tired or inattentive, analyzing the student's characteristic change and following the subtle movements of the whole face and issuing alerts through beta waves to ensure the concentration and attention of the driver. The system will also be able to perform tracking and monitoring through GSM (Global System for Mobile Communications) technology and the cameras installed in the vehicle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20systems" title="advanced driver assistance systems">advanced driver assistance systems</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking" title=" tracking"> tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20signal%20detection" title=" traffic signal detection"> traffic signal detection</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20perception%20system" title=" vehicle perception system"> vehicle perception system</a> </p> <a href="https://publications.waset.org/abstracts/99299/advanced-driver-assistance-system-veibra" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99299.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">155</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">3561</span> Intelligent Driver Safety System Using Fatigue Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samra%20Naz">Samra Naz</a>, <a href="https://publications.waset.org/abstracts/search?q=Aneeqa%20Ahmed"> Aneeqa Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Qurat-ul-ain%20Mubarak"> Qurat-ul-ain Mubarak</a>, <a href="https://publications.waset.org/abstracts/search?q=Irum%20Nausheen"> Irum Nausheen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driver safety systems protect driver from accidents by sensing signs of drowsiness. The paper proposes a technique which can detect the signs of drowsiness and make corresponding decisions to make the driver alert. This paper presents a technique in which the driver will be continuously monitored by a camera and his eyes, head and mouth movements will be observed. If the drowsiness signs are detected on the basis of these three movements under the predefined criteria, driver will be declared as sleepy and he will get alert with the help of alarms. Three robust techniques of drowsiness detection are combined together to make a robust system that can prevent form accident. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drowsiness" title="drowsiness">drowsiness</a>, <a href="https://publications.waset.org/abstracts/search?q=eye%20closure" title=" eye closure"> eye closure</a>, <a href="https://publications.waset.org/abstracts/search?q=fatigue%20detection" title=" fatigue detection"> fatigue detection</a>, <a href="https://publications.waset.org/abstracts/search?q=yawn%20detection" title=" yawn detection"> yawn detection</a> </p> <a href="https://publications.waset.org/abstracts/58479/intelligent-driver-safety-system-using-fatigue-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58479.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">293</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">3560</span> Correlation Test of Psychomotor Vigilance Test Fatigue Scores on Sleep Quality at Home in Oil and Gas Tanker Driver: A Diagnostic Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pandega%20Gama%20Mahardika">Pandega Gama Mahardika</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Rifki%20Al%20Iksan"> Muhammad Rifki Al Iksan</a>, <a href="https://publications.waset.org/abstracts/search?q=Datuk%20Fachrul%20Razy"> Datuk Fachrul Razy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Oil And Gas Tanker Driver is a high-risk jobdesc. drivers drive with sleep circadian rhythm disturbances. Therefore, FAMOUS (Fatigue Management Online Ultimate System) conducted a diagnostic test on the effectiveness and accuracy of the Psychomotor vigilance test (PVT) in the field to capture the fatigue level of Oil And Gas Tanker Driver. Fatigue examination with the PVP method for 3 minutes using the Pertamina FAMOUS system (Fatigue Management Online Ultimate System). The research sample was Oil And Gas Tanker Driver Elnusa petrofin drivers as many as 2205 people. PVT is categorical data that states a driver has a low or high fatigue level. The quality of sleep at home was recorded by filling in a score of 1 = not well, 2 = not well, 3 = well, per person. A total of 1852 (84%) driver had a low fatigue level, while 353 (16%) driver had a high fatigue level. Poor sleep quality was experienced by 68 (79%) driver who had a high fatigue level. Oil And Gas Tanker Driver who slept soundly at home as many as 1804 (87%) had a low fatigue level. The correlation coefficient of sleep quality home and fatigue level is significant because it shows a probability value of 0.00 (p <5%). Fatigue level can be diagnosed through examining sleep quality, using FAMOUS Program for occupational medicine, particularly in the oil and gas sector. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=psychomotor%20vigilance%20test" title="psychomotor vigilance test">psychomotor vigilance test</a>, <a href="https://publications.waset.org/abstracts/search?q=fatigue" title=" fatigue"> fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep" title=" sleep"> sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20and%20gas%20tanker%20driver%20drivers" title=" oil and gas tanker driver drivers"> oil and gas tanker driver drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=pertamina%20FAMOUS" title=" pertamina FAMOUS"> pertamina FAMOUS</a> </p> <a href="https://publications.waset.org/abstracts/170592/correlation-test-of-psychomotor-vigilance-test-fatigue-scores-on-sleep-quality-at-home-in-oil-and-gas-tanker-driver-a-diagnostic-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170592.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">91</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">3559</span> Reduction of the Number of Traffic Accidents by Function of Driver's Anger Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masahiro%20Miyaji">Masahiro Miyaji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> When a driver happens to be involved in some traffic congestion or after traffic incidents, the driver may fall in a state of anger. State of anger may encounter decisive risk resulting in severer traffic accidents. Preventive safety function using driver’s psychosomatic state with regard to anger may be one of solutions which would avoid that kind of risks. Identifying driver’s anger state is important to create countermeasures to prevent the risk of traffic accidents. As a first step, this research figured out root cause of traffic incidents by means of using Internet survey. From statistical analysis of the survey, dominant psychosomatic states immediately before traffic incidents were haste, distraction, drowsiness and anger. Then, we replicated anger state of a driver while driving, and then, replicated it by means of using driving simulator on bench test basis. Six types of facial expressions including anger were introduced as alternative characteristics. Kohonen neural network was adopted to classify anger state. Then, we created a methodology to detect anger state of a driver in high accuracy. We presented a driving support safety function. The function adapts driver’s anger state in cooperation with an autonomous driving unit to reduce the number of traffic accidents. Consequently, e evaluated reduction rate of driver’s anger in the traffic accident. To validate the estimation results, we referred the reduction rate of Advanced Safety Vehicle (ASV) as well as Intelligent Transportation Systems (ITS). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kohonen%20neural%20network" title="Kohonen neural network">Kohonen neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%E2%80%99s%20anger%20state" title=" driver’s anger state"> driver’s anger state</a>, <a href="https://publications.waset.org/abstracts/search?q=reduction%20of%20traffic%20accidents" title=" reduction of traffic accidents"> reduction of traffic accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%E2%80%99s%20state%20adaptive%20driving%20support%20safety" title=" driver’s state adaptive driving support safety"> driver’s state adaptive driving support safety</a> </p> <a href="https://publications.waset.org/abstracts/48011/reduction-of-the-number-of-traffic-accidents-by-function-of-drivers-anger-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48011.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">359</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">3558</span> Communication Infrastructure Required for a Driver Behaviour Monitoring System, ‘SiaMOTO’ IT Platform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dogaru-Ulieru%20Valentin">Dogaru-Ulieru Valentin</a>, <a href="https://publications.waset.org/abstracts/search?q=S%C4%83li%C8%99teanu%20Ioan%20Corneliu"> Sălișteanu Ioan Corneliu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ardeleanu%20Mih%C4%83i%C8%9B%C4%83%20Nicolae"> Ardeleanu Mihăiță Nicolae</a>, <a href="https://publications.waset.org/abstracts/search?q=Brosc%C4%83reanu%20%C8%98tefan"> Broscăreanu Ștefan</a>, <a href="https://publications.waset.org/abstracts/search?q=S%C4%83li%C8%99teanu%20Bogdan"> Sălișteanu Bogdan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihai%20Mihail"> Mihai Mihail</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The SiaMOTO system is a communications and data processing platform for vehicle traffic. The human factor is the most important factor in the generation of this data, as the driver is the one who dictates the trajectory of the vehicle. Like any trajectory, specific parameters refer to position, speed and acceleration. Constant knowledge of these parameters allows complex analyses. Roadways allow many vehicles to travel through their confined space, and the overlapping trajectories of several vehicles increase the likelihood of collision events, known as road accidents. Any such event has causes that lead to its occurrence, so the conditions for its occurrence are known. The human factor is predominant in deciding the trajectory parameters of the vehicle on the road, so monitoring it by knowing the events reported by the DiaMOTO device over time, will generate a guide to target any potentially high-risk driving behavior and reward those who control the driving phenomenon well. In this paper, we have focused on detailing the communication infrastructure of the DiaMOTO device with the traffic data collection server, the infrastructure through which the database that will be used for complex AI/DLM analysis is built. The central element of this description is the data string in CODEC-8 format sent by the DiaMOTO device to the SiaMOTO collection server database. The data presented are specific to a functional infrastructure implemented in an experimental model stage, by installing on a number of 50 vehicles DiaMOTO unique code devices, integrating ADAS and GPS functions, through which vehicle trajectories can be monitored 24 hours a day. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DiaMOTO" title="DiaMOTO">DiaMOTO</a>, <a href="https://publications.waset.org/abstracts/search?q=Codec-8" title=" Codec-8"> Codec-8</a>, <a href="https://publications.waset.org/abstracts/search?q=ADAS" title=" ADAS"> ADAS</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS" title=" GPS"> GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20monitoring" title=" driver monitoring"> driver monitoring</a> </p> <a href="https://publications.waset.org/abstracts/176531/communication-infrastructure-required-for-a-driver-behaviour-monitoring-system-siamoto-it-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176531.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">78</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">3557</span> Designing of Induction Motor Efficiency Monitoring System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Mamizadeh">Ali Mamizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ires%20Iskender"> Ires Iskender</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeid%20Aghaei"> Saeid Aghaei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy is one of the important issues with high priority property in the world. Energy demand is rapidly increasing depending on the growing population and industry. The useable energy sources in the world will be insufficient to meet the need for energy. Therefore, the efficient and economical usage of energy sources is getting more importance. In a survey conducted among electric consuming machines, the electrical machines are consuming about 40% of the total electrical energy consumed by electrical devices and 96% of this consumption belongs to induction motors. Induction motors are the workhorses of industry and have very large application areas in industry and urban systems like water pumping and distribution systems, steel and paper industries and etc. Monitoring and the control of the motors have an important effect on the operating performance of the motor, driver selection and replacement strategy management of electrical machines. The sensorless monitoring system for monitoring and calculating efficiency of induction motors are studied in this study. The equivalent circuit of IEEE is used in the design of this study. The terminal current and voltage of induction motor are used in this motor to measure the efficiency of induction motor. The motor nameplate information and the measured current and voltage are used in this system to calculate accurately the losses of induction motor to calculate its input and output power. The efficiency of the induction motor is monitored online in the proposed method without disconnecting the motor from the driver and without adding any additional connection at the motor terminal box. The proposed monitoring system measure accurately the efficiency by including all losses without using torque meter and speed sensor. The monitoring system uses embedded architecture and does not need to connect to a computer to measure and log measured data. The conclusion regarding the efficiency, the accuracy and technical and economical benefits of the proposed method are presented. The experimental verification has been obtained on a 3 phase 1.1 kW, 2-pole induction motor. The proposed method can be used for optimal control of induction motors, efficiency monitoring and motor replacement strategy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=induction%20motor" title="induction motor">induction motor</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20losses" title=" power losses"> power losses</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=embedded%20design" title=" embedded design"> embedded design</a> </p> <a href="https://publications.waset.org/abstracts/60535/designing-of-induction-motor-efficiency-monitoring-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60535.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">348</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">3556</span> From Comfort to Safety: Assessing the Influence of Car Seat Design on Driver Reaction and Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sabariah%20Mohd%20Yusoff">Sabariah Mohd Yusoff</a>, <a href="https://publications.waset.org/abstracts/search?q=Qamaruddin%20Adzeem%20Muhamad%20Murad"> Qamaruddin Adzeem Muhamad Murad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the impact of car seat design on driver response time, addressing a critical gap in understanding how ergonomic features influence both performance and safety. Controlled driving experiments were conducted with fourteen participants (11 male, 3 female) across three locations chosen for their varying traffic conditions to account for differences in driver alertness. Participants interacted with various seat designs while performing driving tasks, and objective metrics such as braking and steering response times were meticulously recorded. Advanced statistical methods, including regression analysis and t-tests, were employed to identify design factors that significantly affect driver response times. Subjective feedback was gathered through detailed questionnaires—focused on driving experience and knowledge of response time—and in-depth interviews. This qualitative data was analyzed thematically to provide insights into driver comfort and usability preferences. The study aims to identify key seat design features that impact driver response time and to gain a deeper understanding of driver preferences for comfort and usability. The findings are expected to inform evidence-based guidelines for optimizing car seat design, ultimately enhancing driver performance and safety. The research offers valuable implications for automotive manufacturers and designers, contributing to the development of seats that improve driver response time and overall driving safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=car%20seat%20design" title="car seat design">car seat design</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20response%20time" title=" driver response time"> driver response time</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20driving" title=" cognitive driving"> cognitive driving</a>, <a href="https://publications.waset.org/abstracts/search?q=ergonomics%20optimization" title=" ergonomics optimization"> ergonomics optimization</a> </p> <a href="https://publications.waset.org/abstracts/190738/from-comfort-to-safety-assessing-the-influence-of-car-seat-design-on-driver-reaction-and-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190738.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">24</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">3555</span> Fuzzy Inference Based Modelling of Perception Reaction Time of Drivers </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=U.%20Chattaraj">U. Chattaraj</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Dhusiya"> K. Dhusiya</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Raviteja"> M. Raviteja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Perception reaction time of drivers is an outcome of human thought process, which is vague and approximate in nature and also varies from driver to driver. So, in this study a fuzzy logic based model for prediction of the same has been presented, which seems suitable. The control factors, like, age, experience, intensity of driving of the driver, speed of the vehicle and distance of stimulus have been considered as premise variables in the model, in which the perception reaction time is the consequence variable. Results show that the model is able to explain the impacts of the control factors on perception reaction time properly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver" title="driver">driver</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=perception%20reaction%20time" title=" perception reaction time"> perception reaction time</a>, <a href="https://publications.waset.org/abstracts/search?q=premise%20variable" title=" premise variable"> premise variable</a> </p> <a href="https://publications.waset.org/abstracts/54324/fuzzy-inference-based-modelling-of-perception-reaction-time-of-drivers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54324.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">304</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">3554</span> Implementation of a Low-Cost Driver Drowsiness Evaluation System Using a Thermal Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isa%20Moazen">Isa Moazen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Nahvi"> Ali Nahvi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driver drowsiness is a major cause of vehicle accidents, and facial images are highly valuable to detect drowsiness. In this paper, we perform our research via a thermal camera to record drivers' facial images on a driving simulator. A robust real-time algorithm extracts the features using horizontal and vertical integration projection, contours, contour orientations, and cropping tools. The features are included four target areas on the cheeks and forehead. Qt compiler and OpenCV are used with two cameras with different resolutions. A high-resolution thermal camera is used for fifteen subjects, and a low-resolution one is used for a person. The results are investigated by four temperature plots and evaluated by observer rating of drowsiness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20systems" title="advanced driver assistance systems">advanced driver assistance systems</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20imaging" title=" thermal imaging"> thermal imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20drowsiness%20detection" title=" driver drowsiness detection"> driver drowsiness detection</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a> </p> <a href="https://publications.waset.org/abstracts/131366/implementation-of-a-low-cost-driver-drowsiness-evaluation-system-using-a-thermal-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131366.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">138</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">3553</span> A Statistical Study on Young UAE Driver’s Behavior towards Road Safety</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadia%20Afroza">Sadia Afroza</a>, <a href="https://publications.waset.org/abstracts/search?q=Rakiba%20Rouf"> Rakiba Rouf</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road safety and associated behaviors have received significant attention in recent years, reflecting general public concern. This paper portrays a statistical scenario of the young drivers in UAE with emphasis on various concern points of young driver’s behavior and license issuance. Although there are many factors contributing to road accidents, statistically it is evident that age plays a major role in road accidents. Despite ensuring strict road safety laws enforced by the UAE government, there is a staggering correlation among road accidents and young driver’s at UAE. However, private organizations like BMW and RoadSafetyUAE have extended its support on conducting surveys on driver’s behavior with an aim to ensure road safety. Various strategies such as road safety law enforcement, license issuance, adapting new technologies like safety cameras and raising awareness can be implemented to improve the road safety concerns among young drivers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20behavior" title="driving behavior">driving behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=Graduated%20Driver%20Licensing%20System%20%28GLDS%29" title=" Graduated Driver Licensing System (GLDS)"> Graduated Driver Licensing System (GLDS)</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=UAE%20drivers" title=" UAE drivers"> UAE drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a> </p> <a href="https://publications.waset.org/abstracts/80430/a-statistical-study-on-young-uae-drivers-behavior-towards-road-safety" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80430.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">3552</span> Driver Take-Over Time When Resuming Control from Highly Automated Driving in Truck Platooning Scenarios</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bo%20Zhang">Bo Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ellen%20S.%20Wilschut"> Ellen S. Wilschut</a>, <a href="https://publications.waset.org/abstracts/search?q=Dehlia%20M.%20C.%20Willemsen"> Dehlia M. C. Willemsen</a>, <a href="https://publications.waset.org/abstracts/search?q=Marieke%20H.%20Martens"> Marieke H. Martens</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the rapid development of intelligent transportation systems, automated platooning of trucks is drawing increasing interest for its beneficial effects on safety, energy consumption and traffic flow efficiency. Nevertheless, one major challenge lies in the safe transition of control from the automated system back to the human drivers, especially when they have been inattentive after a long period of highly automated driving. In this study, we investigated driver take-over time after a system initiated request to leave the platooning system Virtual Tow Bar in a non-critical scenario. 22 professional truck drivers participated in the truck driving simulator experiment, and each was instructed to drive under three experimental conditions before the presentation of the take-over request (TOR): driver ready (drivers were instructed to monitor the road constantly), driver not-ready (drivers were provided with a tablet) and eye-shut. The results showed significantly longer take-over time in both driver not-ready and eye-shut conditions compared with the driver ready condition. Further analysis revealed hand movement time as the main factor causing long response time in the driver not-ready condition, while in the eye-shut condition, gaze reaction time also influenced the total take-over time largely. In addition to comparing the means, large individual differences can be found especially in two driver, not attentive conditions. The importance of a personalized driver readiness predictor for a safe transition is concluded. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20simulation" title="driving simulation">driving simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=highly%20automated%20driving" title=" highly automated driving"> highly automated driving</a>, <a href="https://publications.waset.org/abstracts/search?q=take-over%20time" title=" take-over time"> take-over time</a>, <a href="https://publications.waset.org/abstracts/search?q=transition%20of%20control" title=" transition of control"> transition of control</a>, <a href="https://publications.waset.org/abstracts/search?q=truck%20platooning" title=" truck platooning"> truck platooning</a> </p> <a href="https://publications.waset.org/abstracts/55425/driver-take-over-time-when-resuming-control-from-highly-automated-driving-in-truck-platooning-scenarios" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55425.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">253</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">3551</span> Distracted Driving among Young Drivers in Qatar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Shaaban">Khaled Shaaban</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distracted driving, which includes anything that distracts a driver from the main task of driving, is one of the main causes of traffic accidents in modern societies. The objective of this research was to understand the type of activities that young drivers perform while driving in Qatar and to identify which activities cause the most distraction to the driver based on their experience. The data was collected through administered questionnaires in the city of Doha, Qatar. According to the participants, the majority reported that they use their cell phone all the time or occasionally while driving. Other significantly cited activities while driving included listening to music or radio, talking with passengers, and eating, drinking or smoking. When asked about the activities that distract the driver, using cell phone was listed as the most distracting activity followed by mental activities and adjusting GPS and audio device vehicle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver%20distraction" title="driver distraction">driver distraction</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=cell%20phone%20use" title=" cell phone use"> cell phone use</a>, <a href="https://publications.waset.org/abstracts/search?q=Qatar" title=" Qatar"> Qatar</a> </p> <a href="https://publications.waset.org/abstracts/16281/distracted-driving-among-young-drivers-in-qatar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16281.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">493</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">3550</span> A Conceptual Model of the 'Driver – Highly Automated Vehicle' System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20A.%20Dubovsky">V. A. Dubovsky</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20V.%20Savchenko"> V. V. Savchenko</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Baryskevich"> A. A. Baryskevich</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current trend in the automotive industry towards automatic vehicles is creating new challenges related to human factors. This occurs due to the fact that the driver is increasingly relieved of the need to be constantly involved in driving the vehicle, which can negatively impact his/her situation awareness when manual control is required, and decrease driving skills and abilities. These new problems need to be studied in order to provide road safety during the transition towards self-driving vehicles. For this purpose, it is important to develop an appropriate conceptual model of the interaction between the driver and the automated vehicle, which could serve as a theoretical basis for the development of mathematical and simulation models to explore different aspects of driver behaviour in different road situations. Well-known driver behaviour models describe the impact of different stages of the driver's cognitive process on driving performance but do not describe how the driver controls and adjusts his actions. A more complete description of the driver's cognitive process, including the evaluation of the results of his/her actions, will make it possible to more accurately model various aspects of the human factor in different road situations. This paper presents a conceptual model of the 'driver – highly automated vehicle' system based on the P.K. Anokhin's theory of functional systems, which is a theoretical framework for describing internal processes in purposeful living systems based on such notions as goal, desired and actual results of the purposeful activity. A central feature of the proposed model is a dynamic coupling mechanism between the decision-making of a driver to perform a particular action and changes of road conditions due to driver’s actions. This mechanism is based on the stage by stage evaluation of the deviations of the actual values of the driver’s action results parameters from the expected values. The overall functional structure of the highly automated vehicle in the proposed model includes a driver/vehicle/environment state analyzer to coordinate the interaction between driver and vehicle. The proposed conceptual model can be used as a framework to investigate different aspects of human factors in transitions between automated and manual driving for future improvements in driving safety, and for understanding how driver-vehicle interface must be designed for comfort and safety. A major finding of this study is the demonstration that the theory of functional systems is promising and has the potential to describe the interaction of the driver with the vehicle and the environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automated%20vehicle" title="automated vehicle">automated vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20behavior" title=" driver behavior"> driver behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20factors" title=" human factors"> human factors</a>, <a href="https://publications.waset.org/abstracts/search?q=human-machine%20system" title=" human-machine system"> human-machine system</a> </p> <a href="https://publications.waset.org/abstracts/123623/a-conceptual-model-of-the-driver-highly-automated-vehicle-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123623.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">146</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">3549</span> An Approaching Index to Evaluate a forward Collision Probability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuan-Lin%20Chen">Yuan-Lin Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an approaching forward collision probability index (AFCPI) for alerting and assisting driver in keeping safety distance to avoid the forward collision accident in highway driving. The time to collision (TTC) and time headway (TH) are used to evaluate the TTC forward collision probability index (TFCPI) and the TH forward collision probability index (HFCPI), respectively. The Mamdani fuzzy inference algorithm is presented combining TFCPI and HFCPI to calculate the approaching collision probability index of the vehicle. The AFCPI is easier to understand for the driver who did not even have any professional knowledge in vehicle professional field. At the same time, the driver’s behavior is taken into account for suiting each driver. For the approaching index, the value 0 is indicating the 0% probability of forward collision, and the values 0.5 and 1 are indicating the 50% and 100% probabilities of forward collision, respectively. The AFCPI is useful and easy-to-understand for alerting driver to avoid the forward collision accidents when driving in highway. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=approaching%20index" title="approaching index">approaching index</a>, <a href="https://publications.waset.org/abstracts/search?q=forward%20collision%20probability" title=" forward collision probability"> forward collision probability</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20to%20collision" title=" time to collision"> time to collision</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20headway" title=" time headway"> time headway</a> </p> <a href="https://publications.waset.org/abstracts/74855/an-approaching-index-to-evaluate-a-forward-collision-probability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74855.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">293</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">3548</span> Case Study of Obstructive Sleep Apnea and Methods of Treatment for a Professional Driver</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20P%C3%A4%C3%A4kk%C3%B6nen">R. Pääkkönen</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Korpinen"> L. Korpinen</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kava"> T. Kava</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Salmi"> I. Salmi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study evaluates obstructive sleep apnea treatment through a case study involving a 67-year-old male driver who had a successful continuous positive airway pressure (CPAP) treatment at home but experienced difficulties with traveling and dental care. There are many cheap sleep apnea and snoring devices available, but there is little professional advice on what kind of devices can help. Professional drivers receive yearly specialized medical care follow-up. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep" title="sleep">sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20patient" title=" apnea patient"> apnea patient</a>, <a href="https://publications.waset.org/abstracts/search?q=CPAP" title=" CPAP"> CPAP</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20driver" title=" professional driver"> professional driver</a> </p> <a href="https://publications.waset.org/abstracts/111884/case-study-of-obstructive-sleep-apnea-and-methods-of-treatment-for-a-professional-driver" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111884.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">199</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">3547</span> Verification of the Effect of the Hazard-Perception Training Tool for Drivers Ported from a Tablet Device to a Smartphone</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Shimazaki">K. Shimazaki</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Mishina"> M. Mishina</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Fujii"> A. Fujii</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a previous study, we developed a hazard-perception training tool for drivers using a tablet device and verified its effectiveness. Accident movies recorded by drive recorders were separated into scenes before and after the collision. The scene before the collision is presented to the driver. The driver then touches the screen to point out where he/she feels danger. After the screen is touched, the tool presents the collision scene and tells the driver if what he/she pointed out is correct. Various effects were observed such as this tool increased the discovery rate of collision targets and reduced the reaction time. In this study, we optimized this tool for the smartphone and verified its effectiveness. Verifying in the same way as in the previous study on tablet devices clarified that the same effect can be obtained on the smartphone screen. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hazard%20perception" title="hazard perception">hazard perception</a>, <a href="https://publications.waset.org/abstracts/search?q=smartphone" title=" smartphone"> smartphone</a>, <a href="https://publications.waset.org/abstracts/search?q=tablet%20devices" title=" tablet devices"> tablet devices</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20education" title=" driver education"> driver education</a> </p> <a href="https://publications.waset.org/abstracts/75831/verification-of-the-effect-of-the-hazard-perception-training-tool-for-drivers-ported-from-a-tablet-device-to-a-smartphone" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75831.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">218</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">3546</span> Vibration Control of a Tracked Vehicle Driver Seat via Magnetorheological Damper</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wael%20Ata">Wael Ata</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tracked vehicles are exposed to severe operating conditions during their battlefield. The suspension system of such vehicles plays a crucial role in the mitigation of vibration transmitted from unevenness to vehicle hull and consequently to the crew. When the vehicles are crossing the road with high speeds, the driver is subjected to a high magnitude of vibration dose. This is because of the passive suspension system of the tracked vehicle lack the effectiveness to withstand induced vibration from irregular terrains. This paper presents vibration control of a semi-active seat suspension incorporating Magnetorheological (MR) damper fitted to a driver seat of an amphibious tracked vehicle (BMP-1). A half vehicle model featuring the proposed semi-active seat suspension is developed and its governing equations are derived. Two controllers namely; skyhook and fuzzy logic skyhook based to suppress the vibration dose at driver’s seat are formulated. The results show that the controlled MR suspension seat along with the vehicle model has substantially suppressed vibration levels at the driver’s seat under bump and sinusoidal excitations <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tracked%20Vehicles" title="Tracked Vehicles">Tracked Vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=MR%20dampers" title=" MR dampers"> MR dampers</a>, <a href="https://publications.waset.org/abstracts/search?q=Skyhook%20%20controller" title=" Skyhook controller"> Skyhook controller</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title=" fuzzy logic controller"> fuzzy logic controller</a> </p> <a href="https://publications.waset.org/abstracts/118209/vibration-control-of-a-tracked-vehicle-driver-seat-via-magnetorheological-damper" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118209.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">121</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">3545</span> The Combined Methodology To Detect Onboard Driver Fatigue</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Senthil%20Nathan">K. Senthil Nathan</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Rajasekaran"> P. Rajasekaran </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fatigue is a feeling of extreme physical or mental tiredness. Almost everyone becomes fatigued at some time, but driver’s fatigue is a serious problem that leads to thousands of automobile crashes each year. Fatigue process is often a change from the alertness and vigor state to the tiredness and weakness state. It is not only accompanied by drowsiness but also has a negative impact on mood. There have been studies to detect and quantify fatigue from the measurement of physiology variables such as electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG). This project involves a multimodal sensing of driver’s drowsiness. The first method is to count the eye blinking rate. In the second level, we authenticate the results of eye blink module with a grip sensor. The Flexiforce sensor is placed over the steering wheel. In the third level, the activities are sensed, the time elapsed from the driver’s last activity is counted here. The activities in the sense: Changing gear, applying brake, pressing sound horns, and turning the steering wheel. Absence of these activities is also an indicator of fatigue. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eye%20blink%20sensor" title="eye blink sensor">eye blink sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=Flexiforce%20sensor" title=" Flexiforce sensor"> Flexiforce sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=EEG" title=" EEG"> EEG</a>, <a href="https://publications.waset.org/abstracts/search?q=EOG" title=" EOG"> EOG</a>, <a href="https://publications.waset.org/abstracts/search?q=EMG" title=" EMG "> EMG </a> </p> <a href="https://publications.waset.org/abstracts/30061/the-combined-methodology-to-detect-onboard-driver-fatigue" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30061.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">483</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">3544</span> Safety Tolerance Zone for Driver-Vehicle-Environment Interactions under Challenging Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matja%C5%BE%20%C5%A0raml">Matjaž Šraml</a>, <a href="https://publications.waset.org/abstracts/search?q=Marko%20Ren%C4%8Delj"> Marko Renčelj</a>, <a href="https://publications.waset.org/abstracts/search?q=Toma%C5%BE%20Tollazzi"> Tomaž Tollazzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Chiara%20Gruden"> Chiara Gruden</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road safety is a worldwide issue with numerous and heterogeneous factors influencing it. On the side, driver state – comprising distraction/inattention, fatigue, drowsiness, extreme emotions, and socio-cultural factors highly affect road safety. On the other side, the vehicle state has an important role in mitigating (or not) the road risk. Finally, the road environment is still one of the main determinants of road safety, defining driving task complexity. At the same time, thanks to technological development, a lot of detailed data is easily available, creating opportunities for the detection of driver state, vehicle characteristics and road conditions and, consequently, for the design of ad hoc interventions aimed at improving driver performance, increase awareness and mitigate road risks. This is the challenge faced by the i-DREAMS project. i-DREAMS, which stands for a smart Driver and Road Environment Assessment and Monitoring System, is a 3-year project funded by the European Union’s Horizon 2020 research and innovation program. It aims to set up a platform to define, develop, test and validate a ‘Safety Tolerance Zone’ to prevent drivers from getting too close to the boundaries of unsafe operation by mitigating risks in real-time and after the trip. After the definition and development of the Safety Tolerance Zone concept and the concretization of the same in an Advanced driver-assistance system (ADAS) platform, the system was tested firstly for 2 months in a driving simulator environment in 5 different countries. After that, naturalistic driving studies started for a 10-month period (comprising a 1-month pilot study, 3-month baseline study and 6 months study implementing interventions). Currently, the project team has approved a common evaluation approach, and it is developing the assessment of the usage and outcomes of the i-DREAMS system, which is turning positive insights. The i-DREAMS consortium consists of 13 partners, 7 engineering universities and research groups, 4 industry partners and 2 partners (European Transport Safety Council - ETSC - and POLIS cities and regions for transport innovation) closely linked to transport safety stakeholders, covering 8 different countries altogether. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistant%20systems" title="advanced driver assistant systems">advanced driver assistant systems</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20simulator" title=" driving simulator"> driving simulator</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20tolerance%20zone" title=" safety tolerance zone"> safety tolerance zone</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20safety" title=" traffic safety"> traffic safety</a> </p> <a href="https://publications.waset.org/abstracts/162481/safety-tolerance-zone-for-driver-vehicle-environment-interactions-under-challenging-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162481.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">67</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">3543</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">3542</span> Event Monitoring Based On Web Services for Heterogeneous Event Sources</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arne%20Koschel">Arne Koschel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article discusses event monitoring options for heterogeneous event sources as they are given in nowadays heterogeneous distributed information systems. It follows the central assumption, that a fully generic event monitoring solution cannot provide complete support for event monitoring; instead, event source specific semantics such as certain event types or support for certain event monitoring techniques have to be taken into account. Following from this, the core result of the work presented here is the extension of a configurable event monitoring (Web) service for a variety of event sources. A service approach allows us to trade genericity for the exploitation of source specific characteristics. It thus delivers results for the areas of SOA, Web services, CEP and EDA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=event%20monitoring" title="event monitoring">event monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=ECA" title=" ECA"> ECA</a>, <a href="https://publications.waset.org/abstracts/search?q=CEP" title=" CEP"> CEP</a>, <a href="https://publications.waset.org/abstracts/search?q=SOA" title=" SOA"> SOA</a>, <a href="https://publications.waset.org/abstracts/search?q=web%20services" title=" web services"> web services</a> </p> <a href="https://publications.waset.org/abstracts/28805/event-monitoring-based-on-web-services-for-heterogeneous-event-sources" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28805.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">744</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">3541</span> Development of Configuration Software of Space Environment Simulator Control System Based on Linux </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhan%20Haiyang">Zhan Haiyang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Lei"> Zhang Lei</a>, <a href="https://publications.waset.org/abstracts/search?q=Ning%20Juan"> Ning Juan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a configuration software solution in Linux, which is used for the control of space environment simulator. After introducing the structure and basic principle, it is said that the developing of QT software frame and the dynamic data exchanging between PLC and computer. The OPC driver in Linux is also developed. This driver realizes many-to-many communication between hardware devices and SCADA software. Moreover, an algorithm named “Scan PRI” is put forward. This algorithm is much more optimizable and efficient compared with "Scan in sequence" in Windows. This software has been used in practical project. It has a good control effect and can achieve the expected goal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Linux%20OS" title="Linux OS">Linux OS</a>, <a href="https://publications.waset.org/abstracts/search?q=configuration%20software" title=" configuration software"> configuration software</a>, <a href="https://publications.waset.org/abstracts/search?q=OPC%20Server%20driver" title=" OPC Server driver"> OPC Server driver</a>, <a href="https://publications.waset.org/abstracts/search?q=MYSQL%20database" title=" MYSQL database"> MYSQL database</a> </p> <a href="https://publications.waset.org/abstracts/54104/development-of-configuration-software-of-space-environment-simulator-control-system-based-on-linux" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54104.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">288</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">3540</span> Electrolytic Capacitor-Less Transformer-Less AC-DC LED Driver with Current Ripple Canceller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasunori%20Kobori">Yasunori Kobori</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Quan"> Li Quan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shu%20Wu"> Shu Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nizam%20Mohyar"> Nizam Mohyar</a>, <a href="https://publications.waset.org/abstracts/search?q=Zachary%20Nosker"> Zachary Nosker</a>, <a href="https://publications.waset.org/abstracts/search?q=Nobukazu%20Tsukiji"> Nobukazu Tsukiji</a>, <a href="https://publications.waset.org/abstracts/search?q=Nobukazu%20Takai"> Nobukazu Takai</a>, <a href="https://publications.waset.org/abstracts/search?q=Haruo%20Kobayashi"> Haruo Kobayashi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes an electrolytic capacitor-less transformer-less AC-DC LED driver with a current ripple canceller. The proposed LED driver includes a diode bridge, a buck-boost converter, a negative feedback controller and a current ripple cancellation circuit. The current ripple canceller works as a bi-directional current converter using a sub-inductor, a sub-capacitor and two switches for controlling current flow. LED voltage is controlled in order to regulate LED current by the negative feedback controller using a current sense resistor. There are two capacitors which capacitance of 5 uF. We describe circuit topologies, operation principles and simulation results for our proposed circuit. In addition, we show the line regulation for input voltage variation from 85V to 130V. The output voltage ripple is 2V and the LED current ripple is 65 mA which is less than 20% of the typical current of 350 mA. We are now making the proposed circuit on a universal board in order to measure the experimental characteristics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LED%20driver" title="LED driver">LED driver</a>, <a href="https://publications.waset.org/abstracts/search?q=electrolytic" title=" electrolytic"> electrolytic</a>, <a href="https://publications.waset.org/abstracts/search?q=capacitor-less" title=" capacitor-less"> capacitor-less</a>, <a href="https://publications.waset.org/abstracts/search?q=AC-DC%20converter" title=" AC-DC converter"> AC-DC converter</a>, <a href="https://publications.waset.org/abstracts/search?q=buck-boost%20converter" title=" buck-boost converter"> buck-boost converter</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20ripple%20canceller" title=" current ripple canceller "> current ripple canceller </a> </p> <a href="https://publications.waset.org/abstracts/7454/electrolytic-capacitor-less-transformer-less-ac-dc-led-driver-with-current-ripple-canceller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7454.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">473</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">3539</span> Cognition of Driving Context for Driving Assistance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manolo%20Dulva%20Hina">Manolo Dulva Hina</a>, <a href="https://publications.waset.org/abstracts/search?q=Clement%20Thierry"> Clement Thierry</a>, <a href="https://publications.waset.org/abstracts/search?q=Assia%20Soukane"> Assia Soukane</a>, <a href="https://publications.waset.org/abstracts/search?q=Amar%20Ramdane-Cherif"> Amar Ramdane-Cherif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we presented our innovative way of determining the driving context for a driving assistance system. We invoke the fusion of all parameters that describe the context of the environment, the vehicle and the driver to obtain the driving context. We created a training set that stores driving situation patterns and from which the system consults to determine the driving situation. A machine-learning algorithm predicts the driving situation. The driving situation is an input to the fission process that yields the action that must be implemented when the driver needs to be informed or assisted from the given the driving situation. The action may be directed towards the driver, the vehicle or both. This is an ongoing work whose goal is to offer an alternative driving assistance system for safe driving, green driving and comfortable driving. Here, ontologies are used for knowledge representation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20driving" title="cognitive driving">cognitive driving</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transportation%20system" title=" intelligent transportation system"> intelligent transportation system</a>, <a href="https://publications.waset.org/abstracts/search?q=multimodal%20system" title=" multimodal system"> multimodal system</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology" title=" ontology"> ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/79015/cognition-of-driving-context-for-driving-assistance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79015.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">368</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</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=driver%20monitoring&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=driver%20monitoring&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=driver%20monitoring&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=driver%20monitoring&page=5">5</a></li> <li class="page-item"><a class="page-link" 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