The congestion of national highways is an important topic for traffic management. Using big data analysis to identify patterns and integrate weather information, Internet public opinion, and other information to construct a traffic flow predictive model is the most important application trend. The choice and decision-making behavior of passersby is one of the important issues in the application of big data analysis in traffic management. Since the departure time of some transportation trips is flexible, if the third-party mobile application software (Application, APP) can integrate the traffic information of the national highway and provide a management interface let the vital few of the driver can adjust the departure time according to the traffic conditions. It will help to improve the phenomenon that national highway traffic must be congestion every holiday. This article uses National Highway No. 5 as a research case; the structural equation model is used to analyze the decision factors that influence road users to change the departure time according to traffic information. Secondly, we analyze the behavior under different combinations of variables by the butterfly catastrophe model. Finally, explore road users are in different simulation scenarios for decision-making behavior to adjust the departure time through the cusp catastrophe model. The findings of this research could strengthen the contribution of professionals to traffic management goals.