静态单点多目标危险品道路运输路径优化

doi:10.16265/j.cnki.issn1003-3033.2017.09.018

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (9): 104-109.doi: 10.16265/j.cnki.issn1003-3033.2017.09.018

静态单点多目标危险品道路运输路径优化

杨立娟¹ 讲师, 王江锋² 副教授, 陈明涛³

1 桂林航天工业学院管理学院,广西桂林 541004
2 北京交通大学交通运输学院,北京 100044
3 华蓝设计(集团)有限公司,广西南宁 530000

收稿日期:2017-05-27 修回日期:2017-07-30 出版日期:2017-09-20 发布日期:2020-11-16
作者简介:杨立娟 (1980—),女,山东青岛人,硕士,讲师,主要从事供应链管理研究。
基金资助:
国家自然科学基金资助(71662007);国家社会科学基金资助(15BGL012)。

Routing optimizing for hazardous materials road transportation under static single point and multiple-target condition

YANG Lijuan¹, WANG Jiangfeng², CHEN Mingtao³

1 Management College, Guilin University of Aerospace Technology, Guilin Guangxi 541004, China
2 School of Traffic and Transportation, Bejing Jiaotong University, Beijing 100044, China
3 Hualan Design&Consulting Group, Nanning Guangxi 530000, China

Received:2017-05-27 Revised:2017-07-30 Online:2017-09-20 Published:2020-11-16

摘要/Abstract

摘要： 为控制危险品运输对环境和居民造成的影响,基于不同运输决策者的路径选择要求,建立有关静态单点多目标约束条件下危险品道路运输路径优化的多个模型。分析危险品事故率影响范围、人口暴露、环境破坏和综合后果风险,并以距离、成本及风险最小化为目标,设计运输路径优化算法,运用灰色关联分析法(GRA)选出与“绝对最优路线”关联度最大的次优路线;最后以国内某公司的苯乙烯运输为例,验证模型和算法。结果表明,模型和算法适于求解危险品运输路径的优化问题,能得到运输时间较短、成本较低、对人和环境危害较小的最优路径。

关键词: 危险品, 道路运输, 归一化处理, 迪杰斯特拉算法, 灰色关联分析法(GRA)

Abstract: To control the influence of hazardous materials road transportation on the ecological environment and residents, models based on multi-objective constraint conditions were built. The paper analyzed the accident rate, population exposure, environmental damage and aggregate consequences of hazardous materials transportation accident. Based on these analyses, a multi-objective optimization algorithm under static single point condition to minimize the length of route, the transportation cost and the transportation risk was designed. GRA is applied to choose a suboptimal path which has the greatest relevance with “the absolute optimal path”. Finally, the models and the algorithm were verified by developing a reasonable transportation path of styene for a certain company in China. Results show that the models and the algorithm are suitable for solving the optimization problem of the transport route of dangerous goods, and can get the optimal path with shorter transportation time, lower cost and less harm to people and environment.

Key words: hazardous materials, road transportation, normalization processing, Dijkstra algorithm, grey relational analysis(GRA)

中图分类号:

X951
U492.8

杨立娟, 王江锋, 陈明涛. 静态单点多目标危险品道路运输路径优化[J]. 中国安全科学学报, 2017, 27(9): 104-109.

YANG Lijuan, WANG Jiangfeng, CHEN Mingtao. Routing optimizing for hazardous materials road transportation under static single point and multiple-target condition[J]. China Safety Science Journal, 2017, 27(9): 104-109.

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静态单点多目标危险品道路运输路径优化

Routing optimizing for hazardous materials road transportation under static single point and multiple-target condition

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