An Effective Intelligent Method for Optimal Urban Transit Network Design

Abstract

Transit network design plays a signiflcant role in transit system design and optimization. However, it is di‐cult to flnd an optimal solution on the NP-Hard problem, especially balancing the beneflts between passenger demand and operational cost. Typically, a transit trip includes four steps: walking from dwelling to the station, waiting for the vehicle in the station, traveling in the vehicle and transferring. Considering the four steps and fare, an improved bee colony intelligent algorithm is proposed to settle network design. The results show that our method is e‐cient and can successfully resolve the transit network design.