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Development Of Qualitative Traffic Condition Decision Algorithm On Urban Streets  

Cho, Jun-Han (교통안전공단 녹색교통안전연구원)
Kim, Jin-Soo (한양대학교 교통공학과)
Kim, Seong-Ho (한양대학교 교통공학과)
Kang, Weon-Eui (한국건설기술연구원 첨단교통연구실)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.10, no.6, 2011 , pp. 40-52 More about this Journal
Abstract
This paper develops a traffic condition decision algorithm to improve the reliability of traffic information on urban streets. This research is reestablished the criteria of qualitative traffic condition categorization and proposed a new qualitative traffic condition decision types and decision measures. The developed algorithm can be classified into 9 types for qualitative traffic condition in consideration of historical time series of speed changes and traffic patterns. The performance of the algorithm is verified through individual matching analysis using the radar detector data in Ansan city. The results of this paper is expected to help promotion of the traffic information processing system, real-time traffic flow monitoring and management, use of historical traffic information, etc.
Keywords
Traffic information processing; qualitative traffic condition; traffic condition decision algorithm; unstable flow region; forced flow region;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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