Abstract: 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.

Key words: urban traffic, travel behavior, decision-making, traffic information, evolution simulation