A Dynamic Diagnose On Bus Routes Optimization Using AHP Based On Multi-Source Bus Data

This paper aims to provide a useful and practical methodology for bus routes optimization. Firstly, based on multisource data including urban transport and bus static data, bus GPS data, bus smart card data, bus alipay scan data, and bus revenue data, the evaluation indicator system of bus routes optimization is proposed. Secondly, a comprehensive evaluation model of bus route optimization is established by applying the analytic hierarchy process (AHP). This paper systematically analyses different kind of optimization method including cancelling the bus route, shortening the bus route, extending the bus route, straightening the bus route, increasing the departure frequency, and reducing the departure frequency. It can automatically screen the set of routes to be optimized, and to realize the bus route operation diagnosis and optimization demand identification. Eventually, this study selects Taizhou bus network for empirical analysis.