Research on Bus Line Network Optimization Method Based on Mobile Data

To improve the public traffic’s utilization efficiency and make residents’ travel more convenient, this paper sets up a public transit network optimization model from the aspect of shortening the passengers’ waiting time and maximizing the benefits of public traffic company. It divides each traffic zone on the basis of time and space properties, then gets the traffic OD of each base station community by processing and analyzing the mobile phones’ data according to the situation of Suqian. A four-step method was used to make a prediction of the requirement for public traffic volume. A genetic algorithm was adapted to figure out the public traffic network’s optimization. The results show that a small part of bus routes need to change. In addition, compared with the existing public traffic network, the optimized scheme increases the network’s density, and decreases line nonlinear and overlap factor, which meets the travel needs in Suqian better.