Abstract: Tradable travel credits scheme is a kind of novel and more equitable congestion pricing method for transportation network design. In this paper, we will research the network design and management problem according to link-based tradable travel credits with charging and rewarding mechanism and link capacity improvement. A new model of network design and management is formulated by integrating the credits charging and discrete network design. The Logit stochastic equilibrium principle is adopted to capture travelers’ route choice behavior. An algorithm of stochastic equilibrium problem is developed under the feasible constraint of link capacity and credits. As the model of transportation network design and management is established as a mathematical programming with fixed-point constraints model, the particle swarm optimization algorithm is presented to solve it. The model and algorithm are then numerical validated by a network example.

Key words: transportation management, tradable travel credits, transportation network design, mathematical programming, Logit stochastic user equilibrium, swarm optimization algorithm