基于多智能体仿真的交通诱导系统效率评价

doi:10.16182/j.issn1004731x.joss.201807025

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2630-2639.doi: 10.16182/j.issn1004731x.joss.201807025

基于多智能体仿真的交通诱导系统效率评价

唐克双, 张桁嘉, 衣谢博闻

同济大学道路与交通工程教育部重点实验室,上海 201804

收稿日期:2017-02-27 出版日期:2018-07-10 发布日期:2019-01-08
作者简介:唐克双(1980-), 男, 安徽宣城, 博士, 副教授, 研究方向为驾驶行为、信号控制和智能交通系统;张桁嘉(1992-), 男, 江苏盐城, 硕士生, 研究方向为道路交通控制与智能交通系统。
基金资助:
国家自然科学基金(61673302)

Operational Evaluation of Traffic Guidance Systems Based on Multi-Agent-Based Simulation

Tang Keshuang, Zhang Hengjia, Yixie Bowen

Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

Received:2017-02-27 Online:2018-07-10 Published:2019-01-08

摘要/Abstract

摘要： 为了研究基于可变情报板的交通诱导系统对交通资源利用效率的优化效果,利用多智能体仿真模型开发了仿真与评价平台。对3种典型交通诱导策略进行了仿真实验,采用平均行驶时间、平均巡泊时间和停车失败率的指标评价了诱导效果。结果表明：行车诱导和停车诱导分别对平均行驶时间和停车失败率有改善效果,并且交通诱导系统在不同交通需求水平下对交通运行状态和停车资源使用状况的影响存在差异性,在发布诱导信息时,需要综合考虑交通需求水平和诱导策略。

关键词: 交通诱导系统, 可变情报板, 路径选择模型, 停车选择模型, 多智能体仿真

Abstract: To study the optimization effect of variable message sign-based traffic guidance system on the utilization efficiency of transportation resource, the multi-agent-based model is used to develop simulation and evaluation platform. The simulation experiments of three typical traffic guidance strategies are carried out. The effect of guidance is evaluated by the indexes as average driving time, average searching time for parking lot and parking failure rate. The result shows that the driving and parking guidance can help reduce the average driving time and the parking failure rate respectively. The influence of the traffic guidance system on the traffic operation status and the utilization of parking resource is different under different traffic demand levels, so the distribution of guidance information needs comprehensive consideration of traffic demand level and guiding strategy.

Key words: traffic guidance system, variable message sign, route choice model, parking choice model, multi-agent-based simulation

中图分类号:

U491.1

唐克双, 张桁嘉, 衣谢博闻. 基于多智能体仿真的交通诱导系统效率评价[J]. 系统仿真学报, 2018, 30(7): 2630-2639.

Tang Keshuang, Zhang Hengjia, Yixie Bowen. Operational Evaluation of Traffic Guidance Systems Based on Multi-Agent-Based Simulation[J]. Journal of System Simulation, 2018, 30(7): 2630-2639.

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基于多智能体仿真的交通诱导系统效率评价

Operational Evaluation of Traffic Guidance Systems Based on Multi-Agent-Based Simulation

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