网络交通流逐日动态演化规律与控制方法研究

项目名称： 网络交通流逐日动态演化规律与控制方法研究

项目编号： No.51308126

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 建筑科学

项目作者： 刘诗序

作者单位： 福州大学

项目金额： 25万元

中文摘要： 传统的静态用户平衡原理隐含3个基本假设：出行者拥有完美的信息和知识、出行者是理性的决策者、出行者都是同质的，由于这些理想假设，导致交通网络平衡分配模型在实际应用中具有很大的局限性。另外，在现实中，人们日常的路径选择可以视为在经验和信息共同作用下的动态博弈学习过程，其宏观表现就是网络交通流的动态演化过程。因此，网络交通流并非一成不变地重复下去，网络交通流会随着各种条件，呈现出复杂曲折的演化过程。本课题深入剖析出行者逐日路径选择机理，建立出行者逐日路径选择模型，研究不同边界条件下网络交通流逐日动态演化规律，包括：不同ATIS市场占有率情形下的网络交通流逐日动态演化规律、出行者有限理性下的网络交通流逐日动态演化规律、弹性需求下网络交通流逐日动态演化规律，在此基础上，提出网络交通流逐日动态演化的控制方法。研究成果进一步丰富和发展了交通分配理论，为城市交通系统的规划和管理提供理论基础和技术支持。

中文关键词： 网络交通流；路径选择行为；交通分配；演化规律；管理控制

英文摘要： Traditional static user equilibrium principle implies three basic assumptions: travelers have perfect information and knowledge, travelers are rational decision-makers, and travelers are homogeneous. For this reason, transportation network equilibrium assignment model has great limitations in practical applications. In addition, in reality, people's daily route choice can be seen as a dynamic game learning process with experience and information. Its macroeconomic performance is the dynamic evolution of network traffic flow. Therefore, network traffic flow is not rigidly repeated but shows a complex and tortuous evolution with a variety of conditions. The subject conducts an in-depth analysis of travelers' day-to-day mechanism. Travelers' day-to-day route choice models are established and day-to-day dynamic evolution of network traffic flow is studied under different boundary conditions. Specifically, our studies include the dynamic evolution of network traffic flow under different ATIS market penetration, the dynamic evolution of network traffic flow under bounded rationality, and the dynamic evolution of network traffic flow with elastic demand. On this basis, we propose effective methods for controlling the day-to-day dynamic evolution of network traffic flow. The research can further enrich and improve the t

英文关键词： network traffic flow；route choice behavior；traffic assignment；evolution rules；management and control