@inproceedings{f6b0e6eb2d09446ca87c392dc7a530bc,
title = "The bus arrival time service based on dynamic traffic information",
abstract = "The bus arri val time (BAT) service is a key service to improve public transport attractiveness by providing use rs with real-time bus arrival information which can help them to arrange their bus travel schedule intelligently. Thus the technique of real-time bus arrival prediction has become a research hotspot in the community of Intelligent Transport Systems (ITS) nowadays. In this paper, a novel model on bus arrival time prediction is proposed. The model proposes a complete set of programs to solve BAT prediction for large-scale real-time traffic information calculating. It adopts an effective algorithm judging bus's driving direction real-timely. BAT is calculated based on dynamic traffic information and visual prediction is a way to complement when GPS information is not arrived as expected. Experimental results indicate that the model has considerable efficiency in accuracy (over 85.1\%) and computational speed (max 5000 GPS records per second).",
keywords = "GPS data, bus arrival time prediction, dynamic traffic information",
author = "Tongyu Zhu and Jian Dong and Jian Huang and Songsong Pang and Du, \{Bo Wen\}",
year = "2012",
doi = "10.1109/ICAICT.2012.6398482",
language = "英语",
isbn = "9781467317405",
series = "2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings",
booktitle = "2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings",
note = "2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 ; Conference date: 17-10-2012 Through 19-10-2012",
}