考虑内生信息的城市交通合作演化机理研究

项目名称： 考虑内生信息的城市交通合作演化机理研究

项目编号： No.71471084

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 陈星光

作者单位： 江汉大学

项目金额： 60万元

中文摘要： 本项目针对考虑信息内生特征的城市交通系统合作行为演化动力学问题，综合应用系统科学、管理科学、数学、交通工程、计算机科学等多学科的理论和方法工具，通过实证调查、行为实验、数理建模、理论解析、计算实验等技术手段，在对合作式交通系统的内涵及个体合作行为影响因素和作用机理进行深入分析的基础上，运用统计分析手段，研究个体、内生信息和出行群体之间的关联关系，构建包含有内生信息和系统合作行为两种要素的信息—合作动力学模型，研究内生信息对于交通系统合作行为的作用机制，设计和开发多Agent交通系统的概念模型和计算模型，探讨群体结构对于交通系统合作行为演化的作用机制，提高我们对于内生信息、出行群体和交通系统合作行为三者之间复杂互动规律的洞察和理解。本项目将丰富并推动复杂交通系统动力学理论的发展，对于合作式交通系统的建模、分析与优化具有重要的理论意义，对我国城市智能交通系统的规划和管理实践也具有较高的实际价值。

中文关键词： 城市交通；内生信息；群体行为；合作；演化机理

英文摘要： This project aims to evolution dynamic problems of urban traffic cooperative behavior of considering endogenous characteristics of information. System science, management science, stochastic differential equations, traffic engineering, computer software simulation, and other multi-disciplinary theories and methods are applied integrated, and approaches, i.e., mathematical modeling, theoretical analysis, software simulation and actual verification are employed. On the basis of comprehensive analysis of the cooperative behavior characteristic of urban traffic systems, information-group dynamics model including two elements of endogenous information and group and information-cooperation dynamics model including two elements of endogenous information and cooperative behavior will be proposed. Furthermore, conceptual model and computation model of multi-agent traffic systems will be designed and developed. The interaction relationship between a variety of diverse endogenous information and group organization will be investigated. Endogenous information and group organizational elements for evolution dynamics mechanism of cooperative behavior of traffic systems would be revealed for improving our insight and understanding of the complex interaction between endogenous information, travel group and traffic systems cooperative behavior. The project will enrich and promote the theory development of complex traffic system dynamics. It has important theoretical significance for modeling, analysis and optimization of urban traffic systems and it also has high practical value to urban intelligent transportation systems planning and management practices of our country.

英文关键词： urban traffic;endogenous information;group behavior;cooperation;evolutionary mechanism