弹性需求概率型随机平衡下的交通网络设计模型及算法

Traffic Network Design Model and Algorithm Based on Probit-based Stochastic Equilibrium with Elastic Demand

考虑网络中用户的路径选择行为符合弹性需求概率型随机平衡的条件下,在满足预算约束的同时,以网络所能容纳的交通需求量最大化为目标,给出了交通网络设计的双层规划模型,通过求解一系列弹性需求概率型随机平衡分配问题,将偏导数用差分近似表示,在此基础上,设计了基于差分的启发式求解算法。

On the condition that the probit--based stochastic equilibrium with elastic demand is used to characterize users＇ route choice behaviors in real networks,a bilevel programming model is proposed for the traffic network design. The model maximize the OD demand of the network subject to the constraint with budget. By sloving a series of probit - based stochastic equilibrium assignment problem with elastic demand and using the difference as the approximation of partial derivative,a heuristic algorithm based on difference for the model is provided.