Journal of Transportation Systems Engineering and Information Technology ›› 2018, Vol. 18 ›› Issue (4): 11-18.

• Forum about Comprehensive Transportation System • Previous Articles     Next Articles

A Green Intermodal Transportation Stochastic Optimization Strategy

LI Jun, YANG Bin, ZHU Xiao-lin   

  1. Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai 201306, China
  • Received:2018-03-13 Revised:2018-06-29 Online:2018-08-25 Published:2018-08-27

绿色多式联运随机优化策略

李珺,杨斌*,朱小林   

  1. 上海海事大学 物流科学与工程研究院,上海 201306
  • 作者简介:李珺(1991-),女,河北衡水人,博士生.
  • 基金资助:

    国家自然科学基金/ National Natural Science Foundation of China(71471110);上海市基础研究重点项目/ Basic Research Key Program of Shanghai(15590501800);交通运输部科技项目/ Ministry of Transport Science and Technology Program(2015328810160).

Abstract:

This paper researches on the green intermodal transportation routing planning strategy with traveling speed obeying stochastic distribution. A green intermodal stochastic optimization model is established by using stochastic optimization method. A hybrid method of combining sample average approximation and particle swarm optimization based on priority is designed for solving this model. In numerical experiments, a simper case is designed to test the model reliability and accuracy, and analyzes a set of scenarios such as the normal distribution and uniform distribution of the speed, and the carbon emission factor. According to the actual situation, it is concluded that when the size of the sample is 600, the situation 3-4 transportation cost is 501.11 and the carbon emission cost is 649.07 is the ideal decision with high stability. When the carbon emission factor increases to 0.8, the cost is reduced. Experiments results show that the proposed stochastic optimization model can deal with the problem of intermodal transport path optimization under uncertain and can provide decision support for intermodal transport operation manager.

Key words: integrated transportation, routing optimization, particle swarm optimization based on priority, stochastic optimization, carbon emission, sample average approximation method

摘要:

针对速度服从随机分布时绿色多式联运路径特点,探索路径优化策略问题,使用随机优化方法,建立绿色多式联运随机路径优化模型,设计了一种将样本平均近似法和基于优先权的粒子群算法相结合的混合算法求解该模型.结合多式联运实际情况设计数值算例验证模型的有效性,对模型中速度的正态分布与均匀分布和碳排放因子进行较为完整的情景分析,结合实际情况得出当样本规模为600,速度服从均匀分布时,情景3-2运输成本为501.11、碳排放成本为649.07是稳定性较高的理想决策,碳排放因子增为0.8有利于成本的降低.实验结果表明,本文建立的随机优化模型能够较好解决速度服从随机分布时多式联运路径优化问题,为实际多式联运运营提供决策支持.

关键词: 综合交通运输, 路径优划, 基于优先权的粒子群算法, 随机优化, 碳排放, 样本平均近似法

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