关键词: 交通需求管理, 双模式网络, 随机用户均衡, 灵敏度分析法

Abstract: On a bimodal transportation network with auto and rail travel modes, reasonable parking capacity design of travel destination can optimize the use of private cars and migrate the travelers onto public transport system. The paper proposes a model of traffic demand management with the environmental capacity and parking constraints on the bimodal network and takes the destination parking pricing into account. Adopting a binary Logit model for the mode split and stochastic user equilibrium for the route-choice of car traveler, a fixed-point model is formulated under the constraint of destination demand. Taking the fixed-point model as a constraint, the model of traffic demand management is thus established as a mathematical programming with equilibrium constraints model. To solve the model, a sensitivity analysis method is presented by obtaining the gradient of link flow and destination demand to parking capacity fluctuation. The influence of parking charge on the variation trend of each index in the model is analyzed and the algorithm is also numerically validated by a network example.

Key words: traffic demand management, bimodal network, stochastic user equilibrium, sensitivity analysis method