Research on the Prediction Algorithm of the Arrival Time of Campus Bus
Authors
Lei Meng, Peiying Li, Junbao Wang, Zhiyong Zhou
Corresponding Author
Lei Meng
Available Online August 2017.
- 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/).
Cite this article
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 -