基于个体出行决策分析的交通流演化模型与仿真

Model and Simulation of Traffic Flow Evolutionary Based on Individual Travel Decision Analysis

对城市交通出行者出行选择行为决策机理展开分析,提出了交通流演化模型,针对出行路径选择下交通流的演化过程与用户个体出行特征、外部信息三者之间的关系进行了仿真研究,结果表明:个体出行决策特征对于流量演化规律的影响比较复杂,应当将交通信息与特定的出行者人群结合起来发布与使用,才可能最大限度地发挥交通信息的作用。研究结论有助于加深对于个体出行行为的理解,对发展出有效的城市交通管理控制措施也具有积极的参考价值。

Travel choice behavior decision-making mechanism was analyzed at first. On this basis, a traffic evolutionary model was present and the relations between the evolutionary process of traffic flow under the route choice behavior, user individual travels decision-making characteristic parameters and external traffic information were investigated by employing simulation platform. Some significant inspiration and meaningful implications are concluded, i.e., the influential effects of individual travel decision-making parameters for flow evolution are quite complicated. The travel service information should be released and used combined with appropriate travelers to maximize the effect of traffic information. These conclusions will help to deepen understanding of the individual travel behavior, and they also have positive reference value to develop effective urban traffic management and control measures.