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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 316032, 8 pages
http://dx.doi.org/10.1155/2014/316032
Research Article

Research and Application of the Beijing Road Traffic Prediction System

1Department of Civil Engineering, Tsinghua University, Beijing 100084, China
2Beijing Traffic Management Bureau, Beijing 100037, China

Received 9 November 2013; Accepted 31 December 2013; Published 18 February 2014

Academic Editor: Wuhong Wang

Copyright © 2014 Ruimin Li et al. 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.

Abstract

As an important part of the urban Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS), short-term road traffic prediction system has received special attention in recent decades. The success of ATMS and ATIS technology deployment is heavily dependent on the availability of timely and accurate estimation or prediction of prevailing and emerging traffic conditions. We studied a real-time road traffic prediction system developed for Beijing based on various traffic detection systems. The logical architecture of the system was presented, including raw data level, data processing and calculation level, and application level. Four key function servers were introduced, namely, the database server, calculation server, Geographic Information System (GIS) server, and web application server. The functions, function modules, and the data flow of the proposed traffic prediction system were analyzed, and subsequently prediction models used in this system are described. Finally, the prediction performance of the system in practice was analyzed. The application of the system in Beijing indicated that the proposed and developed system was feasible, robust, and reliable in practice.