交通限行条件下基于车辆协作的城市物流换乘联运问题研究

发布时间：2018-01-14 22:27

本文关键词：交通限行条件下基于车辆协作的城市物流换乘联运问题研究　出处：《中国管理科学》2017年10期 　论文类型：期刊论文

【摘要】：针对交通限行条件下城市配送的现实问题,提出基于车辆协作的"多对多"网络化换乘联运策略。设计协作点的选择准则与序贯式联运规则,以协作点衔接城市通行区域与限行区域,建立基于车辆协作的城市配送换乘联运模型。同时,考虑到模型的复杂性,利用云模型云滴的随机性与倾向性,改进遗传算法中变异与交叉概率的设置方式,设计云遗传算法优先求解第二级配送问题,再利用C-W算法求解第一级配送问题,为了增强算法的求解质量与效率,设计了扰动算子与种群扩张算子。最后,结合不同算例验证了模型与算法的有效性。
[Abstract]:Aiming at the practical problem of urban distribution under the condition of traffic restriction, this paper puts forward the "many-to-many" networked intermodal transport strategy based on vehicle cooperation, and designs the selection criteria of cooperative points and sequential intermodal transport rules. A model of urban distribution and intermodal transport based on vehicle cooperation is established by connecting the urban traffic area and the restricted area with collaboration points. Considering the complexity of the model, the randomness and tendency of cloud droplets are utilized. Improve the genetic algorithm mutation and crossover probability setting, design the cloud genetic algorithm to solve the second-level distribution problem first, and then use C-W algorithm to solve the first-stage distribution problem. In order to enhance the quality and efficiency of the algorithm, the perturbation operator and the population expansion operator are designed. Finally, the validity of the model and algorithm is verified by different numerical examples.
【作者单位】：重庆交通大学管理学院;四川大学商学院;四川外国语大学国际商学院;
【基金】：国家自然科学基金资助项目(71502021) 教育部人文社会科学基金项目(2014YJC630038);教育部人文社会科学基金项目(2015XJC630007) 博士后科学基金项目(2016T90862) 重庆市基础与前沿研究项目资助(cstc2016jcyjA0160)
【分类号】：F252;U492.2
【正文快照】： 3.四川外国语大学国际商学院,重庆400051)1引言近年来随着汽车保有量急速增加,由交通需求增长与道路资源紧张造成的交通拥堵问题已经成为各大城市普遍面临的难题。为缓解交通拥堵,对货车分时段、分路段、分车型的交通限行政策已经由北上广等一线城市开始施行并向其他城市推广

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