Multi-objective transportation route optimization for hazardous materials based on GIS |
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| Institution: | 1. International Center for Chemical Process Safety, Nanjing Tech University, Nanjing, 211816, China;2. Department of Public Health, California State University, Sacramento, CA, 95819, USA;1. School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, 300384, China;2. Tianjin Key Laboratory of Hazardous Waste Safety Disposal and Recycling Technology, Tianjin, 300384, China;1. School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China;2. State Key Laboratory of Coal Resources and Safety Mining, China University of Mining and Technology, Beijing, 100083, China;1. KU Leuven, Department of Mechanical Engineering, Group T Leuven Campus, A. Vesaliusstraat 13, B-3000, Leuven, Belgium;2. KU Leuven, Department of Materials Engineering, Group T Leuven Campus, A. Vesaliusstraat 13, B-3000, Leuven, Belgium;3. KU Leuven, Department of Chemical Engineering, Celestijnenlaan 200F, B-3001, Leuven, Belgium;4. KU Leuven, Department of Mechanical Engineering, Celestijnenlaan 300A, B-3001, Leuven, Belgium;5. Adinex NV, Brouwerijstraat 11, B-2200, Herentals, Belgium;6. North-West University, Material Science, Innovation and Modelling (MaSIM), Private Bag X2046, 2745, Mmabatho, South Africa;1. College of Safety Science and Engineering, Xi''an University of Science and Technology, Xi''an, 710054, China;2. State and Local Joint Engineering Laboratory of Methane Extraction in Complex Coal Gas Seam, Chongqing University, Chongqing, 400030, China;3. National Technical Center, China Railway 17th Bureau Group Co., Ltd, Taiyuan, 030000, China;1. College of Safety Science and Engineering, Nanjing Tech University, Nanjing, 210009, China;2. Jiangsu Key Laboratory of Hazardous Chemicals Safety and Control, Nanjing, 210009, China;3. Department of Safety, Health, and Environmental Engineering, National Yunlin University of Science and Technology, Yunlin, 64002, Taiwan, ROC |
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| Abstract: | Safety and security are of paramount importance, it is important to optimize and improve the routes of trucks that carry hazardous materials. In this study, we not only ensure the risk in the network, but also consider the transportation cost and the factors such as buildings and emergency facilities around the routes. The Geographic Information System (GIS) is used to quantify the factors on each section in the network. We present an epsilon constrained multi-objective mixed-integer linear programming optimization model to find the robust and stable transportation optimization solutions. At the end, we complete a case analysis of the proposed methodology to determine the motorway segments in Jiangsu province, China and test the above algorithm on the network, which has 144 nodes and 388 sections. The results we get show that the factors of buildings play a very important role in the model, and the multi-objective mixed-integer linear optimization model is reasonable and performs good quality. |
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| Keywords: | Multi-objective optimization Mixed-integer linear programing (MILP) Hazmat transportation Geographic information systems (GIS) Route optimization |
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