市区混合交通平交路口信号控制评价及分布式协同控制策略研究

项目名称： 市区混合交通平交路口信号控制评价及分布式协同控制策略研究

项目编号： No.61463051

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 官铮

作者单位： 云南大学

项目金额： 44万元

中文摘要： 城市交通拥堵已成为普遍现象。实现混合交通环境下路口信号控制评价指标的定量分析，对优化控制策略、提高通行效率具有重要意义。项目以昆明市为背景，针对中、小规模城市混合交通环境，重点研究平交路口信号控制的定量评价和信号动态控制策略。具体包括：1)基于切换服务系统，定量分析单点信号交叉口车辆到达率、信号灯配时策略与车辆延误、排队车辆数、饱和度等交通评价指标之间的关系，对车辆平均延误、平均排队数等评价指标进行数学解析；2)面向城市混合交通，从车辆行车行为、车辆类型、车道类型等角度，建立混合交通平交路口的信号控模型，并完成相关评价指标的定量分析；3)从降低延误和绿波协调控制的角度出发，建立混合交通下信号动态协同配时策略。项目将为交叉口混合交通组织和信号控制提供理论依据，提出抑制和缓解城市交通拥堵的有效方法，指导城市交通建设项目的规划设计、交通设计和交通影响评价。

中文关键词： 交通信号控制；交通流建模；切换服务系统；定量评价；协同控制

英文摘要： Urban traffic congestion has become a common phenomenon. The quantitative research on the evaluation index of intersection signal control under mixed traffic environment, and on the optimal control strategy are significance in improving the traffic efficiency. The project takes Kunming as the background, focus on the development of research on quantitative evaluation and signal dynamic control strategies of the level-crossing signal control in medium-sized city, which is under mixed traffic environment. It is specific included: 1) Based on the switching service system, make the quantitative relationship analysis between single timing strategies and traffic evaluation indexes, as the average vehicle delay, average queue number, and et al.; 2) To the urban mixed traffic environment, we construct the mixed traffic intersection signal control model from the aspect of the traffic behavior, vehicle type, and road type.Complete the quantitative analysis of related evaluation indicators; 3) Aiming at reducing delays and green wave coordinated control, establish cooperative with dynamic signal under mixed traffic strategy. The project will provide theoretical basis of the intersection traffic organization and signal control, propose effective methods to suppress and alleviate the urban traffic congestion, traffic management, and guide for the traffic management and control measures of city.

英文关键词： traffic signals control;traffic flow modeling;switched sever system;quantify evaluation;synergy control