Routing for Hazardous Materials Transportation in Urban Areas
Hazardous materials (HAZMAT) are important for daily production in cities, which usually have a high population. To avoid the threat to public safety and security, the routes for HAZMAT transportation should be planned legitimately by mitigating the maximum risk to population centers. For the object...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/11/9/1091 |
| _version_ | 1811279249792827392 |
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| author | Lukai Zhang Xuesong Feng Yan Yang Chuanchen Ding |
| author_facet | Lukai Zhang Xuesong Feng Yan Yang Chuanchen Ding |
| author_sort | Lukai Zhang |
| collection | DOAJ |
| description | Hazardous materials (HAZMAT) are important for daily production in cities, which usually have a high population. To avoid the threat to public safety and security, the routes for HAZMAT transportation should be planned legitimately by mitigating the maximum risk to population centers. For the objective of min-max local risk in urban areas, this study has newly proposed an optimization model where the service of a link for HAZMAT transportation was taken as the key decision variable. Correspondingly, the symmetric problem of min-max optimization takes significant meanings. Moreover, in consideration of the work load of solving the model under a lot of decision variables, a heuristic algorithm was developed to obtain an optimal solution. Thereafter, a case study was made to test the proposed model and algorithm, and the results were compared with those generated by deterministic solving approaches. In addition, this research is able to be an effective reference for authorities on the management of HAZMAT transportation in urban areas. |
| first_indexed | 2024-04-13T00:51:23Z |
| format | Article |
| id | doaj.art-a860e1113c3241428c8aef40ab792948 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-13T00:51:23Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-a860e1113c3241428c8aef40ab7929482022-12-22T03:09:52ZengMDPI AGSymmetry2073-89942019-09-01119109110.3390/sym11091091sym11091091Routing for Hazardous Materials Transportation in Urban AreasLukai Zhang0Xuesong Feng1Yan Yang2Chuanchen Ding3School of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, ChinaGuangxi Traffic Technician College, No.9 Yongwu Road, Nanning 530001, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, ChinaHazardous materials (HAZMAT) are important for daily production in cities, which usually have a high population. To avoid the threat to public safety and security, the routes for HAZMAT transportation should be planned legitimately by mitigating the maximum risk to population centers. For the objective of min-max local risk in urban areas, this study has newly proposed an optimization model where the service of a link for HAZMAT transportation was taken as the key decision variable. Correspondingly, the symmetric problem of min-max optimization takes significant meanings. Moreover, in consideration of the work load of solving the model under a lot of decision variables, a heuristic algorithm was developed to obtain an optimal solution. Thereafter, a case study was made to test the proposed model and algorithm, and the results were compared with those generated by deterministic solving approaches. In addition, this research is able to be an effective reference for authorities on the management of HAZMAT transportation in urban areas.https://www.mdpi.com/2073-8994/11/9/1091hazardous materials transportationrisk mitigationpopulation centerroute planningheuristic algorithm |
| spellingShingle | Lukai Zhang Xuesong Feng Yan Yang Chuanchen Ding Routing for Hazardous Materials Transportation in Urban Areas Symmetry hazardous materials transportation risk mitigation population center route planning heuristic algorithm |
| title | Routing for Hazardous Materials Transportation in Urban Areas |
| title_full | Routing for Hazardous Materials Transportation in Urban Areas |
| title_fullStr | Routing for Hazardous Materials Transportation in Urban Areas |
| title_full_unstemmed | Routing for Hazardous Materials Transportation in Urban Areas |
| title_short | Routing for Hazardous Materials Transportation in Urban Areas |
| title_sort | routing for hazardous materials transportation in urban areas |
| topic | hazardous materials transportation risk mitigation population center route planning heuristic algorithm |
| url | https://www.mdpi.com/2073-8994/11/9/1091 |
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