Research on Bi-Level Program Model and Algorithm for Optimization of the Conventional Public Transit Network

The traditional methods of public transit network design do not take into account the user's route choice behavior, which in the practical application of the results of the feasibility and design has some limitations. This paper aims for a public transportation network system with the lowest cost investment in public transit enterprises, sets up the bi-level program model, and studies the problem of designing the conventional public transit network. The model fully reflects the different decision-making behaviors and the interaction between the supply and demand which corresponds with the actual needs. The model uses MATLAB 7.1 to program genetic algorithms for solving the model and obtains road network design of the conventional public transit network level optimization. Finally, this paper evaluates and analyses the program, and results shows that the bi-level programming model for the design of the public transport network is feasible and effective.