Research on the Prediction Algorithm of the Arrival Time of Campus Bus

DOI

10.2991/itim-17.2017.8How to use a DOI?

Keywords

Arrival time prediction, Intelligent Transportation, exponential smoothing method, historical average model

Abstract

The main content of this paper is the prediction algorithm of the time that the campus bus needs to arrive at the position of the passenger. The prediction algorithm uses a method of piecewise prediction. According to the historical average velocity data of each section of route, the residence time of the campus bus on each section is predicted, and then the total time is predicted. The historical average velocity data is updated by the exponential smoothing method, which makes the new data account for a higher proportion of the forecast.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Meng
AU  - Peiying Li
AU  - Junbao Wang
AU  - Zhiyong Zhou
PY  - 2017/08
DA  - 2017/08
TI  - Research on the Prediction Algorithm of the Arrival Time of Campus Bus
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 31
EP  - 33
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.8
DO  - 10.2991/itim-17.2017.8
ID  - Meng2017/08
ER  -