Abstract
To improve the effects of travel information on the traffic environment, it is of great importance to understand drivers’ route choice behavior under the influence of travel information. This paper applies stated preference survey techniques to collect data, and based on these data, a model of drivers’ route choice under the impact of travel information is developed by a multinomial logit model (MNL). The objective of the model is to determine the potential interplay among real-time travel time information, socio-demographics of drivers and route choice. From the estimated models and the analysis of the model, it can be discovered that (1) real-time travel information--travel time, travel time variation and the extent of road congestion-- has significant effects on drivers’ route choice behavior. (2) Drivers pay more attention to travel time information than travel time variation. (3) Among socio-demographics information of drivers, drivers’ age, driving experience and gender have considerable correlations with drivers’ route choice behavior.
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