Efficiency-based Mixed Network Design considering Multi-typed Traffic Demands

Transportation network efficiency is a comprehensive reflection of the operation of transportation networks. An effective quantitative evaluation method for the transportation network efficiency is important as it can provide a feedback mechanism of network operation conditions in the process of network design, which gives a theoretical basis for the optimization of urban transportation network In general, a well designed transportation network should be adapted to multi typed traffic demands by considering their characteristics after reconstructing. Thus, on the choice of an effective quantitative evaluation method for the transportation network efficiency, this paper proposes a bi-level programming model with the objective of maximizing transportation network efficiency in mixed network design, which has two lower users' equilibrium models corresponding to two kinds of traffic demands. A hybrid Genetic Algorithm (GA) and Frank-Wolfe Algorithm is then developed to solve the proposed problem. Results of the case study show that the network designed by the proposed model a) results in a more rational distribution of traffic flow, b) improves the adaptability of the transportation network and alleviates the traffic congestion, and c) economizes on the use of land, providing a solid foundation for the sustainable development of transportation network