A genetic algorithm for multiobjective dangerous goods route planning
Publication in refereed journal


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摘要Transportation of dangerous goods (DGs) can significantly affect human life and the environment if accidents occur during the transportation process. Therefore, safe DG transportation is of vital importance, especially in high-density living environments. Effective routing of DG shipments is thus essential to the lowering of risk associated with DG transportation. DG routing is inherently a multicriteria, multiobjective problem in which various factors, such as cost, safety, public and environmental exposure, need to be simultaneously considered. We develop in this paper a multiobjective genetic algorithm (MOGA) for the determination of optimal routes for DG transportation under conflicting objectives. Implemented within the geographical information system environment, the MOGA approach is applied to the transportation of liquefied petroleum gas in the road network of Hong Kong. Experimental results in this case study substantiate the conceptual arguments and demonstrate the good performance of the proposed approach.
著者Li RR, Leung Y, Huang B, Lin H
期刊名稱International Journal of Geographical Information Science
出版年份2013
月份6
日期1
卷號27
期次6
出版社TAYLOR & FRANCIS LTD
頁次1073 - 1089
國際標準期刊號1365-8816
電子國際標準期刊號1362-3087
語言英式英語
關鍵詞dangerous goods transportation; genetic algorithm; GIS; multiobjective route planning
Web of Science 學科類別Computer Science; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS; Geography; GEOGRAPHY; Geography, Physical; GEOGRAPHY, PHYSICAL; Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE; Physical Geography

上次更新時間 2020-07-07 於 02:10