交通诱导与信号控制协同优化策略仿真

发布时间：2018-01-20 02:00

本文关键词： 交通工程协同优化策略微观仿真交通诱导交通信号控制　出处：《东南大学学报(自然科学版)》2017年05期 　论文类型：期刊论文

【摘要】：基于微观仿真软件PARAMICS的城市车辆诱导系统与交通信号控制协同优化流程,提出了基于大规模仿真实验的最优协同策略.通过对PARAMICS进行二次开发,基于固定式信号控制、感应式信号控制以及区域联动信号控制3种信号控制策略,结合用户遵从度和诱导信息发布频次,设计13种不同诱导策略.研究共计完成仿真实验7 800次,根据仿真数据建立平均路段占有率-系统总行程时间回归模型,进而得到不同交通需求条件下最优协同策略.结果显示,不同信号控制下该最优协同策略降低总行程时间0~23.14%.同时可移植性测试显示,在可移植性测试路网中最优协同策略较基础方案降低总行程时间0~10.67%,与最优策略总行程时间差异小于3.5%,因此该最优协同策略具有较好的可移植.
[Abstract]:The collaborative optimization process of urban vehicle guidance system and traffic signal control based on microcosmic simulation software PARAMICS. An optimal cooperative strategy based on large-scale simulation experiments is proposed, which is based on fixed signal control through the secondary development of PARAMICS. Induction signal control and regional linkage signal control three signal control strategies, combined with user compliance and induced information release frequency. 13 different induction strategies were designed. A total of 7,800 simulation experiments were carried out. According to the simulation data, a regression model of average section occupancy and total travel time of the system was established. The results show that the optimal coordination strategy can reduce the total travel time by 0.23.14 under different signal control conditions. Meanwhile, the portability test shows that the optimal cooperative strategy can reduce the total travel time. In the portability test network, the total travel time is reduced by 10. 67% compared with the basic scheme, and the difference between the total travel time of the optimal strategy and the optimal strategy is less than 3.5%. Therefore, the optimal cooperative strategy is portable.
【作者单位】：东南大学城市智能交通江苏省重点实验室;
【基金】：国家自然科学基金优秀青年科学基金资助项目(51322810) 国家自然科学基金委员会与英国工程与自然科学研究理事会合作研究资助项目(51561135003)
【分类号】：U491
【正文快照】： 引用本文:俞灏,刘攀,徐铖铖,等.交通诱导与信号控制协同优化策略仿真[J].东南大学学报(自然科学版),2017,47(5):1026-1031.DOI:10.3969/j.issn.1001-0505.2017.05.029.城市交通诱导系统(TVRS)与交通信号控制系统(TSCS)既相互联系又相互制约[1].一方面,在城市路网中信号交叉口

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