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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 792029, 7 pages
Research Article

A Prediction System Using a P2P Overlay Network for a Bus Arrival System

1Department of Computer Science, National Tsing Hua University, Hsinchu 300, Taiwan
2Department of Information Management, Chung Chou University of Science and Technology, Changhua 510, Taiwan

Received 20 January 2014; Accepted 15 July 2014; Published 24 August 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Ssu-Hsuan Lu and Yu-Wei Chan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Along with the evolution of times and the surge of metropolitan populations, government agencies often promote the construction of public transport. Unlike rail transportation or rapid transit systems, it is often difficult to estimate the vehicle arrival times at each station in a bus transportation system due to metropolitan transportation congestion. Traffic status is often monitored using wireless sensor networks (WSNs). However, WSNs are always separated from one another spatially. Recent studies have considered the connection of multiple sensor networks. This study considers a combination view of peer-to-peer (P2P) overlay networks and WSN architecture to predict bus arrival times. Each bus station, which is also a P2P overlay peer, is connected in a P2P overlay network. A sensor installed in each bus can receive data via peers to obtain the moving speed of a bus. Then, each peer can exchange its data to predict bus arrival times at bus stations. This method can considerably increase the accuracy with which bus arrival times can be predicted and can provide traffic status with high precision. Furthermore, these data can also be used to plan new bus routes according to the information gathered.