交通运输系统工程与信息

交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (5): 89-96.

• 智能交通系统与信息技术 • 上一篇    下一篇

车辆能源补给诱发交通拥堵的元胞自动机模拟

吕奇光1,2，许茂增*1，徐光灿1，刘永1，周翔1   

  1. 1. 重庆交通大学经济与管理学院，重庆400074；2. 重庆科技学院工商管理学院，重庆401331
  • 收稿日期:2017-06-08 修回日期:2017-08-08 出版日期:2017-10-25 发布日期:2017-10-30
  • 作者简介:吕奇光(1979-)，男，浙江缙云人，博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(71471024).

Traffic Congestion Induced by Vehicle Energy Recharging with Cellular Automata Model

LV Qi-guang 1, 2, XU Mao-zeng 1, XU Guang-can 1, LIU Yong 1, ZHOU Xiang 1   

  1. 1.School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Business Administration, Chongqing University of Science & Technology, Chongqing 401331, China
  • Received:2017-06-08 Revised:2017-08-08 Online:2017-10-25 Published:2017-10-30

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摘要：

车辆能源补给需求的产生存在空间和时间上的随机性，可能会在能源供应站点形成聚集，进而影响正常道路交通.为此，本文将能源供应站点抽象为多服务台单排队系统，通过需求车辆行驶特征、能源补给行为特点的分析和元胞矩阵的设计，构建了开放边界条件下的能源供应站点元胞自动机模型.模型实验结果表明：模型能够实现车辆能源补给行为的模拟；需求聚集和补给行为会诱发道路拥堵现象，并会在需求高度聚集时加剧道路拥堵状态；通过模型实验可以明确需求聚集诱发拥堵的边界条件，而不同聚集程度下的边界条件对比结果证明了实施需求车辆引导的必要性.

关键词: 城市交通, 交通拥堵, 元胞自动机模型, 交通能源供应站, 多服务台排队系统

Abstract:

The emerging of vehicle energy demand, which is stochastic both in space and time, may cluster at recharging station and influence the traffic flow. Therefore, this paper analyzes the characters of vehicle on driving or recharging, and presents a recharging station cellular automata model with open boundary conditions in which the recharging station is regarded as a multi-server queuing system. The results of model experiment show that: (1) the model can simulate the vehicle energy recharging process in a station; (2) Vehicle energy recharging would induce traffic congestion, and which became serious with increased demands; (3) The boundary conditions of traffic congestion induced by demand cluster can be found by results analysis, and the necessity of the demand guidance is verified by comparative analyses of boundary conditions in deferent cluster degree.

Key words: urban traffic, traffic congestion, cellular automata model, recharging station, multi- server queuing system

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