关键词: 交通规划, 需求管理, Logit随机用户均衡, Lagrangian乘子法

Abstract: According to the characteristic of limited link capacity and demand capacity of travel destination, the paper proposes a Logit stochastic user equilibrium fixed model with dual constraints. The fixed model is solved by Lagrangian multiplier algorithm which can converge rapidly by mean of regulating the Lagrangian multiplier reasonably. In the iteration process, an improved method of successive weighted averages with self-regulated averaging schemes is designed to solve the general Logit stochastic equilibrium problem and can ensure gradually the links flow lower than corresponding capacity. The method can also improve the service efficiency by avoiding the route numeration. The model and algorithm are then validated by a network example.

Key words: transportation planning, demand management, Logit stochastic user equilibrium, Lagrangian multiplier algorithm