Continuous Network Design Based on the Paired Combinatorial Logit Stochastic User Equilibrium Model

摘要

In order to design the traffic network more accurately, the bi-level programming model for the continuous networkdesign problem based on the paired combinatorial Logit stochastic user equilibrium model is proposed in this study.In the model, the paired combinatorial Logit stochastic user equilibrium model which is used to characterize the routechoice behaviors of the users is adopted in the lower level model, and the minimum summation of the system total costsand investment amounts is used in the upper objective function. The route-based self-regulated averaging (SRA) algorithmis designed to solve the stochastic user equilibrium model and the genetic algorithm (GA) is designed to get the optimalsolution of the upper objective function. The effectiveness of the proposed combining algorithm which contains GAand SRA is verified by using a simple numerical example. The solutions of the bi-level models which use the pairedcombinatorial Logit stochastic user equilibrium model in the lower level model with different demand levels are compared.Finally, the impact of the dispersion coefficient parameter which influences the decision results of the network designproblem is analyzed.