Logit-based Stochastic Ridesharing User Equilibrium Model with Elastic Demand and Its Algorithm

Abstract:

Based on the Logit choice model and elastic demand function， a Logit-based stochastic ridesharing user equilibrium model with elastic demand was built， and a self-adaptive parallel projection algorithm was proposed to solve the ridesharing traffic assignment problem. Finally， the effectiveness of the proposed model and algorithm was verified by two benchmark urban transportation networks. It is shown that the elastic demand parameter and user perception dispersion parameter are critical factors affecting the ridesharing， and the travel demand and average travel time decrease with the increase of the elastic demand parameter and user perception dispersion parameter. The proposed algorithm can solve the large-scale ridesharing traffic assignment problem efficiently and obtain the globally optional solution.