Study on the K-Shortest Paths Searching Algorithm of Urban Mass Transit Network Based on the Network Characteristics

Abstract

K-shortest path is of great significance for urban rail mass transit operation and management especially in large-scale network. The paper has analyzed composite structure characteristics and proposed the route features of the network. According to the former analyses, the author put forward a new method to build a double-layer network model based on the train operation with the corresponding double-layer searching algorithm to solve the model in order to obtain the k-shortest paths. Finally, the rationality and effectiveness of the algorithm had been verified through the examples, which prove that it could provide a new method to get the optimal k-shortest path between different O-D pairs in large scale network, and the search efficiency could be increased more than 13%. As a path searching algorithm based on the train running timetable, it demonstrate decision support for the operation of urban rail mass transit.