Research on Bus Arrival Time Prediction Based on Multi-Source Traffic Information

Abstract

Bus Arrival Time Prediction (BATP) is one component of ITS and travel time information is also a major aspect of Bus Information Service System In order to predict travel time, in an accurate and timely manner, the consideration of traffic state is essential, including traffic congestion, bus dwell time at stops, intersection signal time, weather and incidents information etc. In this paper, previous research has been looked up to and a BATP model has been developed to predict the bus arrival time with data from 910-line buses in Shanghai. A BAT code has been created to consider multi-source traffic information for predicting bus arrival time. At last the prediction results have been proved good enough to applying. So the BATP model in this paper will has practical meanings for project.