Study On Route Choice Model Based On User Preference Under Influence Of ATIS

With China's economic development, road ways have been constructed in an accelerated rate. Intelligent transportation systems (ITS) at home and abroad have gradually gained extensive application and popularization. Especially in the field of advanced traveler information system (ATIS), it provides real-time, accurate, comprehensive traffic information and route guidance to traveler with changes people's travel habits and routing choice. So, it is important to explore the future ITS research on the travel behavior, especially ITS based on route choice model and its algorithm has important theoretical and practical significance.It is well know that travelers'route choice behavior is influenced by ATIS. The paper proposes a concept of user preference model based on stochastic user equilibrium assignment and traffic flow theory. The user preference model is calculated as the linear weighted sum of travel time, traffic congestion, and route reliability. The travelers are divided into two classes:"the travelers with ATIS equipment" and "the travelers without". Travelers are assumed to choose their optimal routes while their user preference cost is minimized, considering the stochastic variations of link capacity. Under the assumption, a stochastic user equilibrium model is formulated. And an algorithm for the model using the diagonalization and MSA algorithm is also proposed to demonstrate the equivalence and uniqueness of solution of the proposed model. Example results show that the algorithm has a good convergence performance and the proposed model can reflect the travelers'route choice behavior in stochastic road networks under the influence of traffic information. Finally, as an application of the model, the paper studies the optimal route choice of the urban traffic flow guidance system based on user preference model.