中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊
重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 2010, Vol. 29 ›› Issue (4): 597-603.

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基于双层规划的危险品道路运输网络设计

储庆中1, 张家应1, 谢之权2   

  1. 1.徐州空军学院, 江苏 徐州 221000; 2.上海济安交通工程咨询有限公司, 上海 200092
  • 收稿日期:2010-04-08 修回日期:2010-05-24 出版日期:2010-08-15 发布日期:2015-01-22
  • 作者简介:储庆中(1974—),男,安徽安庆人,讲师,硕士,主要研究方向:载运工具运用工程、交通规划与管理。E-mail:89359939@qq.com。

Road Network Design for Hazardous Materials Transportation Based on Bi-level Programming

CHU Qing-zhong1, ZHANG Jia-ying1, Xie Zhi-quan2   

  1. 1.Xuzhou Airforce College, Xuzhou 221000, Jiangsu, China; 2.Shanghai Ji^an Transpotation Consulting Co., Ltd., Shanghai 200092, China
  • Received:2010-04-08 Revised:2010-05-24 Online:2010-08-15 Published:2015-01-22

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摘要： 分析了危险品道路运输网络设计问题的双层特性,建立了以政府期望的风险最小化为上层目标、运输者期望 的成本最小化为下层目标的危险品运输网络双层规划模型。采用遗传算法,以Pydev为平台,运用Python编程以 及TransCAD生成网络,实现了运算和结果可视化。实例验证结果表明,遗传算法能给出稳定的最优解,而且所得 风险符合预期并接近于最低网络风险。

关键词: 危险品运输, 网络设计, 双层规划, 遗传算法

Abstract: After analyzing bi-level characteristics of transportation design, a bi-level transportation planning model with government's expectation of risks minimization and transporter's expectation of costs minimization was developed. With Pydev as its platform, calculation and results could be achieved based on Python programming and TransCAD through genetical?? gorism. Through case study, it was indicated that optimal so lutions could be obtained through generic algorithm and the outcome, close to the lowest network risk was in agreement with expectation.

Key words: hazardous materials transportation, network design, bi-level planning, genetic algorism(GA)

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