Multi-criteria and multi-class traffic user equilibrium model under uncertainties

Abstract

Traditional traffic assignment model suffers from its criteria which are travel time only, travel time and distance, travel time and reliability. All of these criteria influence route choice behavior. Multi-criteria user equilibrium model considering travel time, travel time reliability and travel distance was proposed. It was proved that the week multi-criteria user equilibrium model is a generalization of user equilibrium (UE) model and travel time budget (TTB) model. Multi-criteria and multi-class user equilibrium (MMUE) model was established to overcome the shortcoming of multi solution of multicriteria user equilibrium model. Quasi-method of successive average (QMSA) was designed to solve the MMUE model. An example was used to test the speed and accuracy of proposed algorithm. And the differences of MMUE, UE and TTB model were compared. Experiments had shown that the QMSA algorithm could be quickly convergent. It is more realistic to consider the different travel value for each traveler in MMUE model.