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transportation problem</title> <meta name="description" content="Search results for: transportation problem"> <meta name="keywords" content="transportation problem"> <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 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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="transportation problem"> <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> 8441</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: transportation problem</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8441</span> A Method for Solving a Bi-Objective Transportation Problem under Fuzzy Environment </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sukhveer%20Singh">Sukhveer Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandeep%20Singh"> Sandeep Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A bi-objective fuzzy transportation problem with the objectives to minimize the total fuzzy cost and fuzzy time of transportation without according priorities to them is considered. To the best of our knowledge, there is no method in the literature to find efficient solutions of the bi-objective transportation problem under uncertainty. In this paper, a bi-objective transportation problem in an uncertain environment has been formulated. An algorithm has been proposed to find efficient solutions of the bi-objective transportation problem under uncertainty. The proposed algorithm avoids the degeneracy and gives the optimal solution faster than other existing algorithms for the given uncertain transportation problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=uncertain%20transportation%20problem" title="uncertain transportation problem">uncertain transportation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=efficient%20solution" title=" efficient solution"> efficient solution</a>, <a href="https://publications.waset.org/abstracts/search?q=ranking%20function" title=" ranking function"> ranking function</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20transportation%20problem" title=" fuzzy transportation problem"> fuzzy transportation problem</a> </p> <a href="https://publications.waset.org/abstracts/73312/a-method-for-solving-a-bi-objective-transportation-problem-under-fuzzy-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73312.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">525</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">8440</span> Solving the Transportation Problem for Warehouses and Dealers in Bangalore City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Aditya">S. Aditya</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20T.%20Nideesh"> K. T. Nideesh</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Guruprasad"> N. Guruprasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Being a subclass of linear programing problem, the Transportation Problem is a classic Operations Research problem where the objective is to determine the schedule for transporting goods from source to destination in a way that minimizes the shipping cost while satisfying supply and demand constraints. In this paper, we are representing the transportation problem for various warehouses along with various dealers situated in Bangalore city to reduce the transportation cost incurred by them as of now. The problem is solved by obtaining the Initial Basic feasible Solution through various methods and further proceeding to obtain optimal cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NW%20method" title="NW method">NW method</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20utilization" title=" optimum utilization"> optimum utilization</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20problem" title=" transportation problem"> transportation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=Vogel%E2%80%99s%20approximation%20method" title=" Vogel’s approximation method"> Vogel’s approximation method</a> </p> <a href="https://publications.waset.org/abstracts/19160/solving-the-transportation-problem-for-warehouses-and-dealers-in-bangalore-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19160.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">438</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">8439</span> An Improved Approach to Solve Two-Level Hierarchical Time Minimization Transportation Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kalpana%20Dahiya">Kalpana Dahiya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses a two-level hierarchical time minimization transportation problem, which is an important class of transportation problems arising in industries. This problem has been studied by various researchers, and a number of polynomial time iterative algorithms are available to find its solution. All the existing algorithms, though efficient, have some shortcomings. The current study proposes an alternate solution algorithm for the problem that is more efficient in terms of computational time than the existing algorithms. The results justifying the underlying theory of the proposed algorithm are given. Further, a detailed comparison of the computational behaviour of all the algorithms for randomly generated instances of this problem of different sizes validates the efficiency of the proposed algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20optimization" title="global optimization">global optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=hierarchical%20optimization" title=" hierarchical optimization"> hierarchical optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20problem" title=" transportation problem"> transportation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=concave%20minimization" title=" concave minimization"> concave minimization</a> </p> <a href="https://publications.waset.org/abstracts/122713/an-improved-approach-to-solve-two-level-hierarchical-time-minimization-transportation-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122713.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">162</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">8438</span> Solutions of Fuzzy Transportation Problem Using Best Candidates Method and Different Ranking Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20S.%20Annie%20Christi">M. S. Annie Christi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transportation Problem (TP) is based on supply and demand of commodities transported from one source to the different destinations. Usual methods for finding solution of TPs are North-West Corner Rule, Least Cost Method Vogel’s Approximation Method etc. The transportation costs tend to vary at each time. We can use fuzzy numbers which would give solution according to this situation. In this study the Best Candidate Method (BCM) is applied. For ranking Centroid Ranking Technique (CRT) and Robust Ranking Technique have been adopted to transform the fuzzy TP and the above methods are applied to EDWARDS Vacuum Company, Crawley, in West Sussex in the United Kingdom. A Comparative study is also given<strong>.</strong> We see that the transportation cost can be minimized by the application of CRT under BCM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=best%20candidate%20method" title="best candidate method">best candidate method</a>, <a href="https://publications.waset.org/abstracts/search?q=centroid%20ranking%20technique" title=" centroid ranking technique"> centroid ranking technique</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20transportation%20problem" title=" fuzzy transportation problem"> fuzzy transportation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20ranking%20technique" title=" robust ranking technique"> robust ranking technique</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20problem" title=" transportation problem"> transportation problem</a> </p> <a href="https://publications.waset.org/abstracts/60506/solutions-of-fuzzy-transportation-problem-using-best-candidates-method-and-different-ranking-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60506.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">294</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">8437</span> A Model for Solid Transportation Problem with Three Hierarchical Objectives under Uncertain Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wajahat%20Ali">Wajahat Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Shakeel%20Javaid"> Shakeel Javaid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we have developed a mathematical programming model for a solid transportation problem with three objective functions arranged in hierarchical order. The mathematical programming models with more than one objective function to be solved in hierarchical order is termed as a multi-level programming model. Our study explores a Multi-Level Solid Transportation Problem with Uncertain Parameters (MLSTPWU). The proposed MLSTPWU model consists of three objective functions, viz. minimization of transportation cost, minimization of total transportation time, and minimization of deterioration during transportation. These three objective functions are supposed to be solved by decision-makers at three consecutive levels. Three constraint functions are added to the model, restricting the total availability, total demand, and capacity of modes of transportation. All the parameters involved in the model are assumed to be uncertain in nature. A solution method based on fuzzy logic is also discussed to obtain the compromise solution for the proposed model. Further, a simulated numerical example is discussed to establish the efficiency and applicability of the proposed model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solid%20transportation%20problem" title="solid transportation problem">solid transportation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-level%20programming" title=" multi-level programming"> multi-level programming</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertain%20variable" title=" uncertain variable"> uncertain variable</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertain%20environment" title=" uncertain environment"> uncertain environment</a> </p> <a href="https://publications.waset.org/abstracts/162056/a-model-for-solid-transportation-problem-with-three-hierarchical-objectives-under-uncertain-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162056.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">83</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">8436</span> A Hybrid Algorithm for Collaborative Transportation Planning among Carriers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elham%20Jelodari%20Mamaghani">Elham Jelodari Mamaghani</a>, <a href="https://publications.waset.org/abstracts/search?q=Christian%20Prins"> Christian Prins</a>, <a href="https://publications.waset.org/abstracts/search?q=Haoxun%20Chen"> Haoxun Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, there is concentration on collaborative transportation planning (CTP) among multiple carriers with pickup and delivery requests and time windows. This problem is a vehicle routing problem with constraints from standard vehicle routing problems and new constraints from a real-world application. In the problem, each carrier has a finite number of vehicles, and each request is a pickup and delivery request with time window. Moreover, each carrier has reserved requests, which must be served by itself, whereas its exchangeable requests can be outsourced to and served by other carriers. This collaboration among carriers can help them to reduce total transportation costs. A mixed integer programming model is proposed to the problem. To solve the model, a hybrid algorithm that combines Genetic Algorithm and Simulated Annealing (GASA) is proposed. This algorithm takes advantages of GASA at the same time. After tuning the parameters of the algorithm with the Taguchi method, the experiments are conducted and experimental results are provided for the hybrid algorithm. The results are compared with those obtained by a commercial solver. The comparison indicates that the GASA significantly outperforms the commercial solver. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=centralized%20collaborative%20transportation" title="centralized collaborative transportation">centralized collaborative transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20transportation%20with%20pickup%20and%20delivery" title=" collaborative transportation with pickup and delivery"> collaborative transportation with pickup and delivery</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20transportation%20with%20time%20windows" title=" collaborative transportation with time windows"> collaborative transportation with time windows</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20algorithm%20of%20GA%20and%20SA" title=" hybrid algorithm of GA and SA"> hybrid algorithm of GA and SA</a> </p> <a href="https://publications.waset.org/abstracts/81528/a-hybrid-algorithm-for-collaborative-transportation-planning-among-carriers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81528.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">392</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">8435</span> Route Planning for Optimization Approach PSO_GA Sharing System (Scooter Sharing-Public Transportation) with Hybrid Optimization Approach PSO_GA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Ali%20Farrokhpour">Mohammad Ali Farrokhpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the current decade and sustainable transportation systems, scooter sharing has attracted widespread attention as an environmentally-friendly means of public transportation which can help develop public transportation. The combination of scooters and subway in the area of sustainable transportation systems can provide a great many opportunities for developing access to public transportation. Of the challenges which have arisen and initiated discussions of interest about the implementation of a scooter-subway system to replace personal vehicles is the issue of routing in the aforementioned system. This has been chosen as the main subject of the present paper. Thus, the present paper provides an account for routing in this system. Because the issue of routing includes multiple factors such as time, costs, traffic, green spaces, etc., the above-mentioned problem is considered to be a multi-objective NP-hard optimization problem. For this purpose, the hybrid optimization approach of PSO-GA has been put forward in the present paper for the provided answers to be of higher accuracy and validity than those of normal optimization methods. The results obtained from modeling and problem solving for the case study in the MATLAB software are indicative of the efficiency and desirability of the model and the proposed approach for solving the model <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=route%20planning" title="route planning">route planning</a>, <a href="https://publications.waset.org/abstracts/search?q=scooter%20sharing" title=" scooter sharing"> scooter sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20transportation" title=" public transportation"> public transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=sharing%20system" title=" sharing system"> sharing system</a> </p> <a href="https://publications.waset.org/abstracts/140393/route-planning-for-optimization-approach-pso-ga-sharing-system-scooter-sharing-public-transportation-with-hybrid-optimization-approach-pso-ga" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140393.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">84</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">8434</span> Application of Transportation Linear Programming Algorithms to Cost Reduction in Nigeria Soft Drinks Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salami%20Akeem%20Olanrewaju">Salami Akeem Olanrewaju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The transportation models or problems are primarily concerned with the optimal (best possible) way in which a product produced at different factories or plants (called supply origins) can be transported to a number of warehouses or customers (called demand destinations). The objective in a transportation problem is to fully satisfy the destination requirements within the operating production capacity constraints at the minimum possible cost. The objective of this study is to determine ways of minimizing transport cost in order to maximum profit. Data were gathered from the records of the Distribution Department of 7-Up Bottling Company Plc. Ilorin, Kwara State, Nigeria. The data were analyzed using SPSS (Statistical Package for Social Sciences) while applying the three methods of solving a transportation problem. The three methods produced the same results; therefore, any of the method can be adopted by the company in transporting its final products to the wholesale dealers in order to minimize total production cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20minimization" title="cost minimization">cost minimization</a>, <a href="https://publications.waset.org/abstracts/search?q=resources%20utilization" title=" resources utilization"> resources utilization</a>, <a href="https://publications.waset.org/abstracts/search?q=distribution%20system" title=" distribution system"> distribution system</a>, <a href="https://publications.waset.org/abstracts/search?q=allocation%20problem" title=" allocation problem"> allocation problem</a> </p> <a href="https://publications.waset.org/abstracts/2450/application-of-transportation-linear-programming-algorithms-to-cost-reduction-in-nigeria-soft-drinks-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2450.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">257</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">8433</span> Unfolding the Social Clash between Online and Non-Online Transportation Providers in Bandung</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Latifah%20Putti%20Tiananda">Latifah Putti Tiananda</a>, <a href="https://publications.waset.org/abstracts/search?q=Sasti%20Khoirunnisa"> Sasti Khoirunnisa</a>, <a href="https://publications.waset.org/abstracts/search?q=Taniadiana%20Yapwito"> Taniadiana Yapwito</a>, <a href="https://publications.waset.org/abstracts/search?q=Jessica%20Noviena"> Jessica Noviena</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Innovations are often met with two responses, acceptance or rejection. In the past few years, Indonesia is experiencing a revolution of transportation service, which utilizes online platform for its operation. Such improvement is welcomed by consumers and challenged by conventional or ‘non-online’ transportation providers simultaneously. Conflicts arise as the existence of this online transportation mode results in declining income of non-online transportation workers. Physical confrontations and demonstrations demand policing from central authority. However, the obscurity of legal measures from the government persists the social instability. Bandung, a city in West Java with the highest rate of online transportation usage, has recently issued a recommendation withholding the operation of online transportation services to maintain peace and order. Thus, this paper seeks to elaborate the social unrest between the two contesting transportation actors in Bandung and explore community-based approaches to solve this problem. Using qualitative research method, this paper will also feature in-depth interviews with directly involved sources from Bandung. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bandung" title="Bandung">Bandung</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20competition" title=" market competition"> market competition</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20transportation%20services" title=" online transportation services"> online transportation services</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20unrest" title=" social unrest"> social unrest</a> </p> <a href="https://publications.waset.org/abstracts/83161/unfolding-the-social-clash-between-online-and-non-online-transportation-providers-in-bandung" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83161.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">274</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">8432</span> Status and Proposed Models of Backhauling System in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tarathorn%20Podcharathitikull">Tarathorn Podcharathitikull</a>, <a href="https://publications.waset.org/abstracts/search?q=Jirarat%20Teeravaraprug"> Jirarat Teeravaraprug</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transportation cost is the highest cost in logistics cost of Thailand, and truck transportation is counted as about 90% of the overall transportation cost. The main problem of truck transportation is backhauling. Backhauling has become an attractive cost-saving approach in logistics. To explore such opportunities, this paper investigated the current backhauling systems in Thailand. It was found that the backhauling problem is attracted to both governmental agencies and private sector. They gave attempts to build backhauling systems. This paper investigated two systems built by governmental agencies and one by private sector. Moreover, based on the interviews with the system representatives and users, pros and cons of the systems were found. The obstacles and challenges were obtained. This paper finally proposed a conceptual model of to-be backhauling system in Thailand. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=backhauling%20system" title="backhauling system">backhauling system</a>, <a href="https://publications.waset.org/abstracts/search?q=backhauls" title=" backhauls"> backhauls</a>, <a href="https://publications.waset.org/abstracts/search?q=interview" title=" interview"> interview</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/51412/status-and-proposed-models-of-backhauling-system-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51412.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">285</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">8431</span> Interactive Solutions for the Multi-Objective Capacitated Transportation Problem with Mixed Constraints under Fuzziness</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aquil%20Ahmed">Aquil Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Srikant%20Gupta"> Srikant Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Irfan%20Ali"> Irfan Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we study a multi-objective capacitated transportation problem (MOCTP) with mixed constraints. This paper is comprised of the modelling and optimisation of an MOCTP in a fuzzy environment in which some goals are fractional and some are linear. In real life application of the fuzzy goal programming (FGP) problem with multiple objectives, it is difficult for the decision maker(s) to determine the goal value of each objective precisely as the goal values are imprecise or uncertain. Also, we developed the concept of linearization of fractional goal for solving the MOCTP. In this paper, imprecision of the parameter is handled by the concept of fuzzy set theory by considering these parameters as a trapezoidal fuzzy number. α-cut approach is used to get the crisp value of the parameters. Numerical examples are used to illustrate the method for solving MOCTP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacitated%20transportation%20problem" title="capacitated transportation problem">capacitated transportation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20objective%20linear%20programming" title=" multi objective linear programming"> multi objective linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-objective%20fractional%20programming" title=" multi-objective fractional programming"> multi-objective fractional programming</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20goal%20programming" title=" fuzzy goal programming"> fuzzy goal programming</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20sets" title=" fuzzy sets"> fuzzy sets</a>, <a href="https://publications.waset.org/abstracts/search?q=trapezoidal%20fuzzy%20number" title=" trapezoidal fuzzy number"> trapezoidal fuzzy number</a> </p> <a href="https://publications.waset.org/abstracts/77380/interactive-solutions-for-the-multi-objective-capacitated-transportation-problem-with-mixed-constraints-under-fuzziness" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77380.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">434</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">8430</span> Constraint-Directed Techniques for Transport Scheduling with Capacity Restrictions of Automotive Manufacturing Components</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martha%20Ndeley">Martha Ndeley</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Ikome"> John Ikome</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we expand the scope of constraint-directed techniques to deal with the case of transportation schedule with capacity restrictions where the scheduling problem includes alternative activities. That is, not only does the scheduling problem consist of determining when an activity is to be executed, but also determining which set of alternative activities is to be executed at all level of transportation from input to output. Such problems encompass both alternative resource problems and alternative process plan problems. We formulate a constraint-based representation of alternative activities to model problems containing such choices. We then extend existing constraint-directed scheduling heuristic commitment techniques and propagators to reason directly about the fact that an activity does not necessarily have to exist in a final transportation schedule without being completed. Tentative results show that an algorithm using a novel texture-based heuristic commitment technique propagators achieves the best overall performance of the techniques tested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production" title="production">production</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=scheduling" title=" scheduling"> scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated" title=" integrated"> integrated</a> </p> <a href="https://publications.waset.org/abstracts/50638/constraint-directed-techniques-for-transport-scheduling-with-capacity-restrictions-of-automotive-manufacturing-components" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50638.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">362</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">8429</span> Modified Approximation Methods for Finding an Optimal Solution for the Transportation Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Guruprasad">N. Guruprasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a modification of approximation method for transportation problems. The initial basic feasible solution can be computed using either Russel's or Vogel's approximation methods. Russell’s approximation method provides another excellent criterion that is still quick to implement on a computer (not manually) In most cases Russel's method yields a better initial solution, though it takes longer than Vogel's method (finding the next entering variable in Russel's method is in O(n1*n2), and in O(n1+n2) for Vogel's method). However, Russel's method normally has a lesser total running time because less pivots are required to reach the optimum for all but small problem sizes (n1+n2=~20). With this motivation behind we have incorporated a variation of the same – what we have proposed it has TMC (Total Modified Cost) to obtain fast and efficient solutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computation" title="computation">computation</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=modified%20cost" title=" modified cost"> modified cost</a>, <a href="https://publications.waset.org/abstracts/search?q=Russell%E2%80%99s%20approximation%20method" title=" Russell’s approximation method"> Russell’s approximation method</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=Vogel%E2%80%99s%20approximation%20method" title=" Vogel’s approximation method"> Vogel’s approximation method</a> </p> <a href="https://publications.waset.org/abstracts/19162/modified-approximation-methods-for-finding-an-optimal-solution-for-the-transportation-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19162.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">547</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">8428</span> Review of Transportation Modeling Software</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hassan%20M.%20Al-Ahmadi">Hassan M. Al-Ahmadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamad%20Bader%20Almobayedh"> Hamad Bader Almobayedh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Planning for urban transportation is essential for developing effective and sustainable transportation networks that meet the needs of various communities. Advanced modeling software is required for effective transportation planning, management, and optimization. This paper compares PTV VISUM, Aimsun, TransCAD, and Emme, four industry-leading software tools for transportation planning and modeling. Each software has strengths and limitations, and the project's needs, financial constraints, and level of technical expertise influence the choice of software. Transportation experts can design and improve urban transportation systems that are effective, sustainable, and meet the changing needs of their communities by utilizing these software tools. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PTV%20VISUM" title="PTV VISUM">PTV VISUM</a>, <a href="https://publications.waset.org/abstracts/search?q=Aimsun" title=" Aimsun"> Aimsun</a>, <a href="https://publications.waset.org/abstracts/search?q=TransCAD" title=" TransCAD"> TransCAD</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20modeling%20software" title=" transportation modeling software"> transportation modeling software</a> </p> <a href="https://publications.waset.org/abstracts/187721/review-of-transportation-modeling-software" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187721.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">31</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">8427</span> Integration of Big Data to Predict Transportation for Smart Cities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sun-Young%20Jang">Sun-Young Jang</a>, <a href="https://publications.waset.org/abstracts/search?q=Sung-Ah%20Kim"> Sung-Ah Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Dongyoun%20Shin"> Dongyoun Shin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Intelligent transportation system is essential to build smarter cities. Machine learning based transportation prediction could be highly promising approach by delivering invisible aspect visible. In this context, this research aims to make a prototype model that predicts transportation network by using big data and machine learning technology. In detail, among urban transportation systems this research chooses bus system.  The research problem that existing headway model cannot response dynamic transportation conditions. Thus, bus delay problem is often occurred. To overcome this problem, a prediction model is presented to fine patterns of bus delay by using a machine learning implementing the following data sets; traffics, weathers, and bus statues. This research presents a flexible headway model to predict bus delay and analyze the result. The prototyping model is composed by real-time data of buses. The data are gathered through public data portals and real time Application Program Interface (API) by the government. These data are fundamental resources to organize interval pattern models of bus operations as traffic environment factors (road speeds, station conditions, weathers, and bus information of operating in real-time). The prototyping model is designed by the machine learning tool (RapidMiner Studio) and conducted tests for bus delays prediction. This research presents experiments to increase prediction accuracy for bus headway by analyzing the urban big data. The big data analysis is important to predict the future and to find correlations by processing huge amount of data. Therefore, based on the analysis method, this research represents an effective use of the machine learning and urban big data to understand urban dynamics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</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=social%20cost" title=" social cost"> social cost</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20network" title=" transportation network"> transportation network</a> </p> <a href="https://publications.waset.org/abstracts/76004/integration-of-big-data-to-predict-transportation-for-smart-cities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76004.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">260</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">8426</span> An Exact Algorithm for Location–Transportation Problems in Humanitarian Relief</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chansiri%20Singhtaun">Chansiri Singhtaun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a mathematical model and examines the performance of an exact algorithm for a location–transportation problems in humanitarian relief. The model determines the number and location of distribution centers in a relief network, the amount of relief supplies to be stocked at each distribution center and the vehicles to take the supplies to meet the needs of disaster victims under capacity restriction, transportation and budgetary constraints. The computational experiments are conducted on the various sizes of problems that are generated. Branch and bound algorithm is applied for these problems. The results show that this algorithm can solve problem sizes of up to three candidate locations with five demand points and one candidate location with up to twenty demand points without premature termination. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disaster%20response" title="disaster response">disaster response</a>, <a href="https://publications.waset.org/abstracts/search?q=facility%20location" title=" facility location"> facility location</a>, <a href="https://publications.waset.org/abstracts/search?q=humanitarian%20relief" title=" humanitarian relief"> humanitarian relief</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation "> transportation </a> </p> <a href="https://publications.waset.org/abstracts/18925/an-exact-algorithm-for-location-transportation-problems-in-humanitarian-relief" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18925.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">451</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">8425</span> The Continuous Facility Location Problem and Transportation Mode Selection in the Supply Chain under Sustainability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulaziz%20Alageel">Abdulaziz Alageel</a>, <a href="https://publications.waset.org/abstracts/search?q=Martino%20Luis"> Martino Luis</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuya%20Zhong"> Shuya Zhong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main focus of this research study is on the challenges faced in decision-making in a supply chain network regarding the facility location while considering carbon emissions. The study aims (i) to locate facilities (i.e., distribution centeres) in a continuous space considering limitations of capacity and the costs associated with opening and (ii) to reduce the cost of carbon emissions by selecting the mode of transportation. The problem is formulated as mixed-integer linear programming. This study hybridised a greedy randomised adaptive search (GRASP) and variable neighborhood search (VNS) to deal with the problem. Well-known datasets from the literature (Brimberg et al. 2001) are used and adapted in order to assess the performance of the proposed method. The proposed hybrid method produces encouraging results based on computational analysis. The study also highlights some research avenues for future recommendations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supply%20chain" title="supply chain">supply chain</a>, <a href="https://publications.waset.org/abstracts/search?q=facility%20location" title=" facility location"> facility location</a>, <a href="https://publications.waset.org/abstracts/search?q=weber%20problem" title=" weber problem"> weber problem</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/160994/the-continuous-facility-location-problem-and-transportation-mode-selection-in-the-supply-chain-under-sustainability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160994.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">100</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">8424</span> Present State of Local Public Transportation Service in Local Municipalities of Japan and Its Effects on Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Akiko%20Kondo">Akiko Kondo</a>, <a href="https://publications.waset.org/abstracts/search?q=Akio%20Kondo"> Akio Kondo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We are facing regional problems to low birth rate and longevity in Japan. Under this situation, there are some local municipalities which lose their vitality. The aims of this study are to clarify the present state of local public transportation services in local municipalities and relation between local public transportation services and population quantitatively. We conducted a questionnaire survey concerning regional agenda in all local municipalities in Japan. We obtained responses concerning the present state of convenience in use of public transportation and local public transportation services. Based on the data gathered from the survey, it is apparent that we should some sort of measures concerning public transportation services. Convenience in use of public transportation becomes an object of public concern in many rural regions. It is also clarified that some local municipalities introduce a demand bus for the purpose of promotion of administrative and financial efficiency. They also introduce a demand taxi in order to secure transportation to weak people in transportation and eliminate of blank area related to public transportation services. In addition, we construct a population model which includes explanatory variables of present states of local public transportation services. From this result, we can clarify the relation between public transportation services and population quantitatively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=public%20transportation" title="public transportation">public transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20municipality" title=" local municipality"> local municipality</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20analysis" title=" regional analysis"> regional analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20issue" title=" regional issue"> regional issue</a> </p> <a href="https://publications.waset.org/abstracts/42853/present-state-of-local-public-transportation-service-in-local-municipalities-of-japan-and-its-effects-on-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42853.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">400</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">8423</span> Profile of Cortisol in Bali's Crossbreed Cows for 120 Hours Shipping Using Traditional Vessel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hindar%20Panguji">Hindar Panguji</a>, <a href="https://publications.waset.org/abstracts/search?q=Nichlah%20%20Rifqiyah"> Nichlah Rifqiyah</a>, <a href="https://publications.waset.org/abstracts/search?q=Irkham%20Widiono"> Irkham Widiono</a>, <a href="https://publications.waset.org/abstracts/search?q=Pudji%20Astuti"> Pudji Astuti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many transportations of livestock in Indonesia is still managed traditionally. Transportation involves several things that may cause stress, from a certain treatment or other factors, either externally or internally, that act as stressors. This study aimed to determine the profile of cortisol and IL-6 in female Bali breeding cattle transported for 120 hours using 100 GT traditional vessels with two floors and a capacity of 300-400 heads. Before transportation, all of the animals have got the vaccination. Blood samples from thirty cows were taken before transportation, during loading, during docking, and after transportation. ELISA method was used to analyze the concentration of cortisol and IL6. The averages of cortisol concentration before transportation, during loading, docking, and after transportation were 78.21±27.96 ng/mL, 90.78±30.91 ng/mL, 69.90±53.92 ng/mL and 69.34±32.03 ng/mL respectively. The average concentration of IL-6 before, during, docking and after transportation were 259.86±70.16 pg/mL, 315.41±64.21 pg/mL, 410.13±247.43 pg/mL dan 424.81±98.86 pg/mL. It was concluded there were no differences in cortisol concentrations and level of IL6 of each cow at different stages of transportation (p > 0.05) It would be possible that vaccination could reduce the fluctuation of cortisol. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=shipping" title="shipping">shipping</a>, <a href="https://publications.waset.org/abstracts/search?q=Bali%27s%20breed%20cows" title=" Bali's breed cows"> Bali's breed cows</a>, <a href="https://publications.waset.org/abstracts/search?q=vessel" title=" vessel"> vessel</a>, <a href="https://publications.waset.org/abstracts/search?q=cortisol" title=" cortisol"> cortisol</a>, <a href="https://publications.waset.org/abstracts/search?q=IL6" title=" IL6"> IL6</a> </p> <a href="https://publications.waset.org/abstracts/73709/profile-of-cortisol-in-balis-crossbreed-cows-for-120-hours-shipping-using-traditional-vessel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73709.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">223</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">8422</span> A Novel Solution Methodology for Transit Route Network Design Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghada%20Moussa">Ghada Moussa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mamoud%20Owais"> Mamoud Owais</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transit Route Network Design Problem (TrNDP) is the most important component in Transit planning, in which the overall cost of the public transportation system highly depends on it. The main purpose of this study is to develop a novel solution methodology for the TrNDP, which goes beyond pervious traditional sophisticated approaches. The novelty of the solution methodology, adopted in this paper, stands on the deterministic operators which are tackled to construct bus routes. The deterministic manner of the TrNDP solution relies on using linear and integer mathematical formulations that can be solved exactly with their standard solvers. The solution methodology has been tested through Mandl’s benchmark network problem. The test results showed that the methodology developed in this research is able to improve the given network solution in terms of number of constructed routes, direct transit service coverage, transfer directness and solution reliability. Although the set of routes resulted from the methodology would stand alone as a final efficient solution for TrNDP, it could be used as an initial solution for meta-heuristic procedures to approach global optimal. Based on the presented methodology, a more robust network optimization tool would be produced for public transportation planning purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integer%20programming" title="integer programming">integer programming</a>, <a href="https://publications.waset.org/abstracts/search?q=transit%20route%20design" title=" transit route design"> transit route design</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title=" urban planning"> urban planning</a> </p> <a href="https://publications.waset.org/abstracts/5927/a-novel-solution-methodology-for-transit-route-network-design-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5927.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">273</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">8421</span> Maritime Transportation and Environmental Pollution: Emerging Trends and Challenges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emil%20Mathew">Emil Mathew</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Liberalisation policies adopted by a large number of countries, implementation of technological innovations with development in communication networks and continuous reduction in transport costs contributed towards the growth of international transportation of goods over the last 50 to 60 years. The present paper examines the environmental externalities of maritime transportation, that is, externalities associated with the movement of cargoes, as distinct from those emanate from production and consumption of goods. Though shipping is less polluting compared to other modes of transportation, considering the huge volume of goods transported and future growth prospects, it is important to examine environmental externalities of maritime transportation. It focuses on varied types of environmental externalities of maritime transportation and suggests that appropriate policies may be adopted by international agencies to address this issue without adversely affecting the course of international trade and also its possibility to get diverted to alternate modes of transportation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=externalities%20of%20globalisation" title="externalities of globalisation">externalities of globalisation</a>, <a href="https://publications.waset.org/abstracts/search?q=maritime%20environment" title=" maritime environment"> maritime environment</a>, <a href="https://publications.waset.org/abstracts/search?q=maritime%20externality" title=" maritime externality"> maritime externality</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20externality" title=" transportation externality"> transportation externality</a> </p> <a href="https://publications.waset.org/abstracts/59247/maritime-transportation-and-environmental-pollution-emerging-trends-and-challenges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59247.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">285</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">8420</span> Evaluating Accessibility to Bangkok Mass Transit System: Case Study of Saphan Taksin Bangkok Mass Transit System Station</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rungpansa%20Noichan">Rungpansa Noichan</a>, <a href="https://publications.waset.org/abstracts/search?q=Bart%20Julian%20Dewancker"> Bart Julian Dewancker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thailand facing the transportation issue because of the rapid economic development. The big issue is the traffic jam, especially in Bangkok. However, recently years Bangkok has operated urban mass transit system for solved transportation problem. The Bangkok Mass Transit System (BTS) skytrain is being operated by the BTS Company Limited under the Bangkok Metropolitan Administration. The passenger satisfaction is a major cause for concern due to the commercial nature. The focus of this paper is to evaluate the passenger satisfaction at the mass transit node by questionnaires survey. The survey was to find out the passenger attitudes. The result shows several important factors that influence the passenger choice of using the BTS as a public transportation mode and the passenger’s opinion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20transportation" title="urban transportation">urban transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20satisfaction" title=" user satisfaction"> user satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=accessibility" title=" accessibility"> accessibility</a>, <a href="https://publications.waset.org/abstracts/search?q=Bangkok%20mass%20transit" title=" Bangkok mass transit"> Bangkok mass transit</a> </p> <a href="https://publications.waset.org/abstracts/71342/evaluating-accessibility-to-bangkok-mass-transit-system-case-study-of-saphan-taksin-bangkok-mass-transit-system-station" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71342.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">285</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">8419</span> Transportation Accidents Mortality Modeling in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=W.%20Sriwattanapongse">W. Sriwattanapongse</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Prasitwattanaseree"> S. Prasitwattanaseree</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Wongtrangan"> S. Wongtrangan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The transportation accidents mortality is a major problem that leads to loss of human lives, and economic. The objective was to identify patterns of statistical modeling for estimating mortality rates due to transportation accidents in Thailand by using data from 2000 to 2009. The data was taken from the death certificate, vital registration database. The number of deaths and mortality rates were computed classifying by gender, age, year and region. There were 114,790 cases of transportation accidents deaths. The highest average age-specific transport accident mortality rate is 3.11 per 100,000 per year in males, Southern region and the lowest average age-specific transport accident mortality rate is 1.79 per 100,000 per year in females, North-East region. Linear, poisson and negative binomial models were chosen for fitting statistical model. Among the models fitted, the best was chosen based on the analysis of deviance and AIC. The negative binomial model was clearly appropriate fitted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transportation%20accidents" title="transportation accidents">transportation accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=analysis%20of%20deviance" title=" analysis of deviance"> analysis of deviance</a> </p> <a href="https://publications.waset.org/abstracts/2307/transportation-accidents-mortality-modeling-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2307.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">244</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">8418</span> A Metaheuristic for the Layout and Scheduling Problem in a Job Shop Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hern%C3%A1ndez%20Eva%20Selene">Hernández Eva Selene</a>, <a href="https://publications.waset.org/abstracts/search?q=Reyna%20Mary%20Carmen"> Reyna Mary Carmen</a>, <a href="https://publications.waset.org/abstracts/search?q=Rivera%20H%C3%A9ctor"> Rivera Héctor</a>, <a href="https://publications.waset.org/abstracts/search?q=Barrag%C3%A1n%20%20Irving"> Barragán Irving</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose an approach that jointly addresses the layout of a facility and the scheduling of a sequence of jobs. In real production, these two problems are interrelated. However, they are treated separately in the literature. Our approach is an extension of the job shop problem with transportation delay, where the location of the machines is selected among possible sites. The model minimizes the makespan, using the short processing times rule with two algorithms; the first one considers all the permutations for the location of machines, and the second only a heuristic to select some specific permutations that reduces computational time. Some instances are proved and compared with literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=layout%20problem" title="layout problem">layout problem</a>, <a href="https://publications.waset.org/abstracts/search?q=job%20shop%20scheduling%20problem" title=" job shop scheduling problem"> job shop scheduling problem</a>, <a href="https://publications.waset.org/abstracts/search?q=concurrent%20scheduling%20and%20layout%20problem" title=" concurrent scheduling and layout problem"> concurrent scheduling and layout problem</a>, <a href="https://publications.waset.org/abstracts/search?q=metaheuristic" title=" metaheuristic"> metaheuristic</a> </p> <a href="https://publications.waset.org/abstracts/31639/a-metaheuristic-for-the-layout-and-scheduling-problem-in-a-job-shop-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31639.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">606</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">8417</span> Transit Network Design Problem Issues and Challenges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Owais">Mahmoud Owais</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Public Transit (P.T) is very important means to reduce traffic congestion, to improve urban environmental conditions and consequently affects people social lives. Planning, designing and management of P.T are the key issues for offering a competitive mode that can compete with the private transportation. These transportation planning, designing and management issues are addressed in the Transit Network Design Problem (TNDP). It deals with a complete hierarchy of decision making process. It includes strategic, tactical and operational decisions. The main body of TNDP is two stages, namely; route design stage and frequency setting. The TNDP is extensively studied in the last five decades; however the research gate is still widely open due to its many practical and modeling challenges. In this paper, a comprehensive background is given to illustrate the issues and challenges related to the TNDP to help in directing the incoming researches towards the untouched areas of the problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=frequency%20setting" title="frequency setting">frequency setting</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20design" title=" network design"> network design</a>, <a href="https://publications.waset.org/abstracts/search?q=transit%20planning" title=" transit planning"> transit planning</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title=" urban planning"> urban planning</a> </p> <a href="https://publications.waset.org/abstracts/28564/transit-network-design-problem-issues-and-challenges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28564.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">384</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">8416</span> Geospatial Network Analysis Using Particle Swarm Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Varun%20Singh">Varun Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mainak%20Bandyopadhyay"> Mainak Bandyopadhyay</a>, <a href="https://publications.waset.org/abstracts/search?q=Maharana%20Pratap%20Singh"> Maharana Pratap Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The shortest path (SP) problem concerns with finding the shortest path from a specific origin to a specified destination in a given network while minimizing the total cost associated with the path. This problem has widespread applications. Important applications of the SP problem include vehicle routing in transportation systems particularly in the field of in-vehicle Route Guidance System (RGS) and traffic assignment problem (in transportation planning). Well known applications of evolutionary methods like Genetic Algorithms (GA), Ant Colony Optimization, Particle Swarm Optimization (PSO) have come up to solve complex optimization problems to overcome the shortcomings of existing shortest path analysis methods. It has been reported by various researchers that PSO performs better than other evolutionary optimization algorithms in terms of success rate and solution quality. Further Geographic Information Systems (GIS) have emerged as key information systems for geospatial data analysis and visualization. This research paper is focused towards the application of PSO for solving the shortest path problem between multiple points of interest (POI) based on spatial data of Allahabad City and traffic speed data collected using GPS. Geovisualization of results of analysis is carried out in GIS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title="particle swarm optimization">particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20data" title=" traffic data"> traffic data</a>, <a href="https://publications.waset.org/abstracts/search?q=outliers" title=" outliers"> outliers</a> </p> <a href="https://publications.waset.org/abstracts/13181/geospatial-network-analysis-using-particle-swarm-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13181.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">8415</span> Assessment of Negative Impacts Affecting Public Transportation Modes and Infrastructure in Burgersfort Town towards Building Urban Sustainability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ntloana%20Hlabishi%20Peter">Ntloana Hlabishi Peter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The availability of public transportation modes and qualitative infrastructure is a burning issue that affects urban sustainability. Public transportation is indispensable in providing adequate transportation means to people at an affordable price, and it promotes public transport reliance. Burgersfort town has a critical condition on the urban public transportation infrastructure which affects the bus and taxi public transport modes and the existing infrastructure. The municipality is regarded as one of the mining towns in Limpopo Province considering the availability of mining activities and proposal on establishment of a Special Economic Zone (SEZ). The study aim is to assess the efficacy of current public transportation infrastructure and to propose relevant recommendations that will unlock the possibility of future supportable public transportation systems. The Key Informant Interview (KII) was used to acquire data on the views from commuters and stakeholders involved. There KII incorporated three relevant questions in relation to services rendered in public transportation. Relevant literature relating to public transportation modes and infrastructure revealed the imperatives of public transportation infrastructure, and relevant legislation was reviewed concerning public transport infrastructure. The finding revealed poor conditions on the public transportation ranks and also inadequate parking space for public transportation modes. The study reveals that 100% of people interviewed were not satisfied with the condition of public transportation infrastructure and 100% are not satisfied with the services offered by public transportation sectors. The findings revealed that the municipality is the main player who can upgrade the existing conditions of public transportation. The study recommended that an intermodal transportation facility must be established to resolve the emerging challenges. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=public%20transportation" title="public transportation">public transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=modes" title=" modes"> modes</a>, <a href="https://publications.waset.org/abstracts/search?q=infrastructure" title=" infrastructure"> infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20sustainability" title=" urban sustainability"> urban sustainability</a> </p> <a href="https://publications.waset.org/abstracts/129975/assessment-of-negative-impacts-affecting-public-transportation-modes-and-infrastructure-in-burgersfort-town-towards-building-urban-sustainability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129975.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">226</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">8414</span> A Study of Cloud Computing Solution for Transportation Big Data Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ilgin%20G%C3%B6ka%C5%9Far">Ilgin Gökaşar</a>, <a href="https://publications.waset.org/abstracts/search?q=Saman%20Ghaffarian"> Saman Ghaffarian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The need for fast processed big data of transportation ridership (eg., smartcard data) and traffic operation (e.g., traffic detectors data) which requires a lot of computational power is incontrovertible in Intelligent Transportation Systems. Nowadays cloud computing is one of the important subjects and popular information technology solution for data processing. It enables users to process enormous measure of data without having their own particular computing power. Thus, it can also be a good selection for transportation big data processing as well. This paper intends to examine how the cloud computing can enhance transportation big data process with contrasting its advantages and disadvantages, and discussing cloud computing features. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=Intelligent%20Transportation%20Systems" title=" Intelligent Transportation Systems"> Intelligent Transportation Systems</a>, <a href="https://publications.waset.org/abstracts/search?q=ITS" title=" ITS"> ITS</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20data%20processing" title=" traffic data processing"> traffic data processing</a> </p> <a href="https://publications.waset.org/abstracts/32308/a-study-of-cloud-computing-solution-for-transportation-big-data-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32308.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">467</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">8413</span> Onboard Heat, Pressure and Boil-Off Gas Treatment for Stacked NGH Tank Containers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hee%20Jin%20Kang">Hee Jin Kang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite numerous studies on the reserves and availability of natural gas hydrates, the technology of transporting natural gas hydrates in large quantities to sea has not been put into practical use. Several natural gas hydrate transport technologies presented by the International Maritime Organization (IMO) are under preparation for commercialization. Among them, NGH tank container concept modularized transportation unit to prevent sintering effect during sea transportation. The natural gas hydrate can be vaporized in a certain part during the transportation. Unprocessed BOG increases the pressure inside the tank. Also, there is a risk of fire if you export the BOG out of the tank without proper handling. Therefore, in this study, we have studied the concept of technology to properly process BOG to modularize natural gas hydrate and to transport it to sea for long distance. The study is expected to contribute to the practical use of NGH tank container, which is a modular transport concept proposed to solve the sintering problem that occurs when transporting natural gas hydrate in the form of bulk cargo. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Natural%20gas%20hydrate" title="Natural gas hydrate">Natural gas hydrate</a>, <a href="https://publications.waset.org/abstracts/search?q=tank%20container" title=" tank container"> tank container</a>, <a href="https://publications.waset.org/abstracts/search?q=marine%20transportation" title=" marine transportation"> marine transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=boil-off%20gas" title=" boil-off gas"> boil-off gas</a> </p> <a href="https://publications.waset.org/abstracts/70771/onboard-heat-pressure-and-boil-off-gas-treatment-for-stacked-ngh-tank-containers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70771.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">8412</span> Optimization of Maritime Platform Transport Problem of Solid, Special and Dangerous Waste</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ocotl%C3%A1n%20D%C3%ADaz-Parra">Ocotlán Díaz-Parra</a>, <a href="https://publications.waset.org/abstracts/search?q=Jorge%20A.%20Ruiz-Vanoye"> Jorge A. Ruiz-Vanoye</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandro%20Fuentes-Penna"> Alejandro Fuentes-Penna</a>, <a href="https://publications.waset.org/abstracts/search?q=Beatriz%20Bernabe-Loranca"> Beatriz Bernabe-Loranca</a>, <a href="https://publications.waset.org/abstracts/search?q=Patricia%20Ambrocio-Cruz"> Patricia Ambrocio-Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=Jos%C3%A9%20J.%20Hern%C3%A1ndez-Flores"> José J. Hernández-Flores</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Maritime Platform Transport Problem of Solid, Special and Dangerous Waste consist of to minimize the monetary value of carry different types of waste from one location to another location using ships. We offer a novel mathematical, the characterization of the problem and the use CPLEX to find the optimal values to solve the Solid, Special and Hazardous Waste Transportation Problem of offshore platforms instances of Mexican state-owned petroleum company (PEMEX). The set of instances used are WTPLib real instances and the tool CPLEX solver to solve the MPTPSSDW problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oil%20platform" title="oil platform">oil platform</a>, <a href="https://publications.waset.org/abstracts/search?q=transport%20problem" title=" transport problem"> transport problem</a>, <a href="https://publications.waset.org/abstracts/search?q=waste" title=" waste"> waste</a>, <a href="https://publications.waset.org/abstracts/search?q=solid%20waste" title=" solid waste"> solid waste</a> </p> <a href="https://publications.waset.org/abstracts/42738/optimization-of-maritime-platform-transport-problem-of-solid-special-and-dangerous-waste" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42738.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 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