车辆能源补给诱发交通拥堵的元胞自动机模拟.docVIP

车辆能源补给诱发交通拥堵的元胞自动机模拟 吕奇光 许茂增 徐光灿 刘永 周翔 重庆交通大学经济与管理学院 重庆科技学院工商管理学院 X 关注成功！ 加关注后您将方便地在 我的关注中得到本文献的被引频次变化的通知！ 新浪微博 腾讯微博 人人网 开心网 豆瓣网 网易微博 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; 作者简介：吕奇光 (1979-) , 男, 浙江缙云人, 博士生. 作者简介：许茂增, xmzzrxhy@cqjtu.edu.cn 收稿日期：2017-06-08 基金：国家自然科学基金 Traffic Congestion Induced by Vehicle Energy Recharging with Cellular Automata Model LV Qi-guang XU Mao-zeng XU Guang-can LIU Yong ZHOU Xiang School of Economics and Management, Chongqing Jiaotong University; 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. Keyword： urban traffic; traffic congestion; cellular automata model; recharging station; multi-server queuing system; Received： 2017-06-08 0 引言 能源供应站点 (以下简称站点) 是实现交通功能的重要保障.由于需求时间和空间分布的随机性, 单个站点可能存在瞬时的需求聚集, 导致能源需求车辆 (以下简称需求车辆) 在该站点的长时间等待, 甚至出现排队车辆溢出站点进而诱发道路拥堵的现象, Kelley[1]、De Filippo[2]等学者对这一现象都进行了描述.但现有研究成果都未对这一现象的形成机理、拥堵边界条件进行研究, 无法为拥堵