基于合作竞争博弈的城市交通信号协同控制理论与方法研究

Urban road transport network plays an indispensable role in promoting urban development which is the basic component of urban social, economic, and physical structure. Traffic capacity of intersections is crucial to the efficiency of traffic network, which is the critical point causing a serious problem of traffic interruption and delay especially in rush hours. Therefore, owing to ensuring the traffic efficiency, traffic signal control has always attracted great attentions for both the urban traffic administrators and researchers all over the world for many years. Aiming at improving the urban traffic efficiency of road network system under the circumstances of Intelligent Vehicle and Infrastructure Cooperation Systems (IVICS), a so-called new generation of intelligent transportation systems, this project presents a novel method based on the game theory for cooperative traffic control. It will construct a complete information game environment using the spatio-temporal traffic information under IVCIS. It will mainly focus on four aspects, i.e., panoramic traffic status reconstruction and evolutionary analysis, automatic traffic incident identification and positioning based on the information collected by IVICS, the traffic conflict modelling and analysis for multiple traffic participants, and cooperative signal control strategy for both single intersection and control region based on co-opetition game theory. The research results are supposed to be directly applied in the promoting the urban traffic efficiency of road network system under IVICS. Furthermore, this project has important academic values for the research of basic theories and methods of Intelligent Transportation Systems in such aspects as the reliability impact of traffic information under IVICS, as well as the modeling and optimization of traffic signal cooperative control.

城市道路交通网络是城市社会、经济和物质结构的基本组成部分，交叉路口是交通网络中造成车流中断和延误产生的天然瓶颈，其通行能力是决定交通网络通行效率的关键所在。交通信号控制可有效提升交通网络运行效率，一直是国内外智能交通领域的研究热点和难点。本项目重点关注智能车路协同系统实施后，即将引发的交通信息获取、数据交互以及信息应用的深刻变革，以城市路网为研究对象，聚焦城市交叉口区域通行效率提升问题，全面考虑所有交通参与主体的出行需求，运用合作和竞争博弈的理论和方法，紧紧围绕全时空交通状态重构与演化分析、事件自动识别与定位、多种交通主体参与的交叉路口冲突分析、单交叉路口和区域交通信号合作竞争博弈等核心问题开展创新性研究工作。项目成果对提升道路交通网络的通行效率，具有工程应用价值。同时，在车路协同数据感知、交通信号协同控制优化等方面的研究成果也将丰富智能交通的基本理论和研究方法，具有科学意义和学术价值。

城市道路交通网络是城市社会、经济和物质结构的基本组成部分，交叉路口是交通网络中造成车流中断和延误产生的天然瓶颈，其通行能力是决定交通网络通行效率的关键所在。交通信号控制可有效提升交通网络运行效率，一直是国内外智能交通领域的研究热点和难点。本项目重点关注智能车路协同系统实施后，即将引发的交通信息获取、数据交互以及信息应用的深刻变革，以城市路网为研究对象，聚焦城市交叉口区域通行效率提升问题，全面考虑所有交通参与主体的出行需求，运用合作和.竞争博弈的理论和方法，紧紧围绕全时空交通状态重构与演化分析、事件自动识别与定位、多种交通主体参与的交叉路口冲突分析、单交叉路口和区域交通信号合作竞争博弈等核心问题开展创新性研究工作。项目成果对提升道路交通网络的通行效率，具有工程应用价值。同时，在车路协同数据感知、交通信号协同控制优化等方面的研究成果也将丰富智能交通的基本理论和研究方法，具有科学意义和学术价值。