Bi-attribute Risky Route Choice Mode And Equilibrium Analysis Based On The Salience Theory

Traveler’s route choice modeling plays a fundamental role in the study of the equilibrium problem of traffic system.Analyzing the behavior of route choice of travelers can provide a good decision basis for the operation of the transportation system,effectively alleviate traffic congestion,and promote the stable and sustainable development of urban traffic.First,based on the classic salience theory,flow-dependent salience theory is proposed.Secondly,based on the flow-dependent salience theory,the dual effects of travel time and travel cost was considered,a bi-attribute salient route utility model under two travel states is established.On the basis of this model,a constructive method is used to prove and define the sufficient conditions for the existence and uniqueness of equilibrium.Finally,it is further extended to the a biattribute salient route utility model in multiple states,and the equilibrium analysis is carried out.Numerical examples verify the correctness of the theory in this paper,and focus on the analysis of the influence of salient psychology on traveler’s route choice behavior.Research indicates:(1)The bi-attribute salient user equilibrium analysis under the two states found that if the traveler’s risk-seeking psychology is greater than the avoidance psychology,the salience equilibrium biases to choose the risky route,and the stronger the sensitivity to salience,the more serious the distortion.Vice versa.At the same time,whether the equilibrium exists and where the location is closely related to the traveler’s sensitivity to the salience and the road toll design.Through the control of relevant variables,the traveler’s behavior of route choice can be affected.(2)Further analysis of bi-attribute salient user equilibrium in multiple states found that the discrete salience ranking model would not accurately express the traveler’s salience ranking for multiple states.Therefore,an equilibrium analysis model based on continuous ranking is proposed,which can accurately predict the position of equilibrium,help decision makers to plan the flow distribution state of the traffic system more efficiently and accurately,effectively alleviate traffic congestion and improve the utilization rate of urban road.