城市快速路多匝道协调控制信号施加策略仿真

doi:10.16182/j.issn1004731x.joss.201808028

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (8): 3050-3057.doi: 10.16182/j.issn1004731x.joss.201808028

城市快速路多匝道协调控制信号施加策略仿真

庞明宝, 夏泽民, 栾燕海

河北工业大学土木与交通学院,天津 300401

收稿日期:2016-10-21 出版日期:2018-08-10 发布日期:2019-01-08
作者简介:庞明宝(1966-),男,河南西峡,博士,教授,研究方向为智能交通系统、交通系统工程。
基金资助:
国家自然科学基金(50478088),河北省自然科学基金(E2015202266)

Inputting Strategy Simulation of Multi-ramp Coordinated Control Signal for Urban Expressway

Pang Mingbao, Xia Zemin, Luan Yanhai

School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China

Received:2016-10-21 Online:2018-08-10 Published:2019-01-08

摘要/Abstract

摘要： 在司机对城市快速路出现交通拥堵反应分析和SP调查基础上,确定各交通状态下驾驶行为调整时关键参数变化趋势和路径改变概率;建立能精确描述驾驶行为城市快速路协调控制的元胞自动机模型,对拥堵点上游不同入口匝道数量协调控制信号施加后的交通流特性进行仿真,对比分析不同需求下各协调控制信号方式对道路流量的影响,得到最佳协调控制信号施加策略。结果表明多匝道协调控制作为城市快速路管理的基本手段,只有针对不同需求和状态采取合适的控制信号施加策略,才能最大限度降低交通拥堵影响,从而实现提高道路流量的目的。

关键词: 交通仿真, 元胞自动机模型, 城市快速路, 多匝道协调控制, 交通拥堵

Abstract: Based on the analysis of the driver's reaction when the urban expressway is in traffic jamming state and stated preference survey (SP) investigating, the key parameters' variation trends when the driving behavior adjusts and the possible path changing probability for a driver in each state are determined. A cellular automaton model of coordinated control section on urban expressway is established, where the driving behaviors are described accurately. The characteristics of traffic flow is discussed via the simulation experiments after inputting coordination control signals with different on-ramp numbers upstream of jamming point. The effects of each coordinated control modes on road flux are analyzed contrastively under different traffic demands respectively. The optimal strategies of inputting coordinated control signal are given. The results of the examples indicate that as a basic management tool of urban expressway for the multi-ramp coordinated control, the impact of congestion can be reduced at the utmost and the goal of enhancing road flux can be realized only by adopting the appropriate control strategies of inputting signal according to different traffic demands and states.

Key words: traffic simulation, cellular automaton model (CAM), urban expressway, multi-ramp coordinated control, traffic jamming

中图分类号:

庞明宝, 夏泽民, 栾燕海. 城市快速路多匝道协调控制信号施加策略仿真[J]. 系统仿真学报, 2018, 30(8): 3050-3057.

Pang Mingbao, Xia Zemin, Luan Yanhai. Inputting Strategy Simulation of Multi-ramp Coordinated Control Signal for Urban Expressway[J]. Journal of System Simulation, 2018, 30(8): 3050-3057.

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城市快速路多匝道协调控制信号施加策略仿真

Inputting Strategy Simulation of Multi-ramp Coordinated Control Signal for Urban Expressway

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