基于Agent的交叉口群微观交通仿真系统与应用

发布时间：2018-02-27 09:28

本文关键词： 交通工程智能交通微观交通仿真智能体系统交叉口群排队长度启停次数　出处：《长安大学学报(自然科学版)》2014年03期 　论文类型：期刊论文

【摘要】：为了改善车辆在交叉口群的运行效率,缩短车辆排队长度和减少车辆起停次数,在对交叉口群微观交通仿真中车辆、交叉口、车道、信号灯实体进行Agent建模基础上,采用AgentSpeak语言设计了车辆Agent的跟驰行为、交叉口避撞与左转待转行为、以及换道行为等模块,实现了基于Agent的交叉口群微观交通仿真系统。以西安市小寨商圈交叉口群为例,车辆Agent分别按照随机速度行驶和最大限速行驶意图模型进行仿真试验。研究结果表明:采用最大限速行驶策略时,车辆在交叉口群的平均延误时间可降低25.7%,平均起停次数可降低35.8%,这为改进现有交叉口群车辆通行控制策略和管理措施提供了思路及评价手段。
[Abstract]:In order to improve the running efficiency of vehicles in intersection group, shorten the queue length of vehicles and reduce the number of vehicle stopping, on the basis of Agent modeling of vehicles, intersections, lanes and signal lights in the microscopic traffic simulation of intersection groups, the vehicle, intersection, driveway and signal lights are modeled by Agent. The following behavior of vehicle Agent, the behavior of avoiding collision at intersection and waiting for left turn, and the behavior of changing lanes are designed by using AgentSpeak language. The micro traffic simulation system of intersection group based on Agent is realized. Taking the intersection group of Xiaozhai commercial circle in Xi'an as an example, The simulation tests of vehicle Agent are carried out according to the random speed driving model and the maximum speed limit travel intention model respectively. The research results show that: when the maximum speed limit driving strategy is adopted, The average delay time of vehicles in intersection group can be reduced by 25.7and the average starting and stopping times can be reduced by 35.8. this provides the train of thought and evaluation means for improving the traffic control strategy and management measures of existing intersections.
【作者单位】：长安大学信息工程学院;
【基金】：国家自然科学基金项目(50978030,51278058) 长江学者和创新团队发展计划(IRT0951) 中国博士后科学基金项目(2012M521729) 陕西省自然科学基金项目(2014JZ019)
【分类号】：U491.23

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