弹性需求的Logit随机共乘用户均衡模型和算法

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

摘要:

基于Logit选择模型和弹性需求函数，建立了弹性需求的Logit随机共乘用户均衡模型，并提出了自适应并行投影算法以求解共乘出行交通分配问题，最后通过2个城市交通网络算例验证了模型和算法的有效性。结果表明：弹性需求参数和用户感知离散参数是影响共乘出行的重要因素，出行需求和平均出行时间随着弹性需求参数和用户感知离散参数的增加而降低；所提出算法可求解大规模共乘出行交通分配问题并获得全局最优解。

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.