To study the choice behavior of travelers’ departure time under urban dynamic road traffic information, this paper designs stated preference survey to obtain data from travelers with driving experience in Dalian city and develops a time choice behavioral model based on discrete choice method. The analysis results over this model indicate that the parameters of maximum travel time and minimum travel time are very different, and the estimated coefficients are-0.065 7 and-0.027 9 respectively. The most sensitive parameter is travel cost. The female’s sensitivity to the uncertainty of travel time is higher than male’s, and the travelers’ age, income and years of driving experience significantly impact their departure time choice behavior, which will provide decision basis for personalized traffic information service.