Study On Travelers’ Route Choice Behavior Under Guidance Information

As an important method, the VMS can offer the route guidance information for travelers on the way in TGS. However, as person activity of travelers, the route choice behavior of everyone has independent travel target and conduct code. And with the help of VMS, they determine and evaluate by themselves, at last make a decision. The traveler’s decision not only effect the current traffic flow, but also effect the further traffic flow. This article is intended to study on influential factors of route choice behavior with the help of VMS information, offer reference foundation for reasonable and effective induction strategy.This article, on the premise of analysis route choice decisions mechanism of travelers, design SP survey, collect possible factors of route choice and count survey data. The personal characteristic (sex, age and income), travel characteristic (travel target and travel frequency), guidance information (attention frequency on VMS and accurate appraisal) and road characteristic (road level and traffic event type) are the important factors which effect the route choice behavior.Secondly, with the help of SPSS statistical software, we can gradually remove and screen the influence factors which based on binary Logit regression analysis. And then, we can extract the most significant factor of affecting travelers’ route choice to build a traveler route selection model under the guidance information. The model can obtain the probability of a traveler changing the path according the Input variables.Finally, the quantitative analysis of the model calibration results shows that, travelers driving experience, annual income, concern for VMS and the evaluation of VMS’s accuracy affect the route choice for travelers inordinately. With the increasing of driving experience, the reliance on VMS guidance information decreases, and the probability of changing route according the information reduces; the higher annual income travelers are more sensitive on travel time, which lead them more likely to change the path according to the guidance information; the higher the traveler’s attention on VMS and the better evaluation of VMS’s accuracy, the higher rate of changing route according to the information.