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Designing A V2V based Traffic Surveillance System and Its Functional Requirements  

Hong, Seung-Pyo (유신코퍼레이션 건설기술연구소 ITS 연구실)
Oh, Cheol (한양대학교 교통시스템공학과)
Kim, Won-Kyu (한국항공대학교 항공교통물류학부)
Kim, Hyun-Mi (한국교통연구원)
Kim, Tae-Hyung (한국교통연구원)
Publication Information
Journal of Korean Society of Transportation / v.26, no.4, 2008 , pp. 251-264 More about this Journal
Abstract
One of the crucial elements to fully facilitate the various benefits of intelligent transportation systems (ITS) is to obtain more reliable traffic monitoring in real time. To date, point and section-based traffic measurements have been available through existing surveillance technologies, such as loops and automatic vehicle identification (AVI) systems. However, seamless and more reliable traffic data are required for more effective traffic information provision and operations. Technology advancements including vehicle tracking and wireless communication enable the acceleration of the availability of individual vehicle travel information. This study presents a UBIquitous PRObe vehicle Surveillance System (UBIPROSS) using vehicle-to-vehicle (V2V) wireless communications. Seamless vehicle travel information, including origin-destination information, speed, travel times, and other data, can be obtained by the proposed UBIPROSS. A set of parameters associated with functional requirements of the UBIPROSS, which include the market penetration rate (MPR) of equipped vehicles, V2V communication range, and travel time update interval, are investigated by a Monte Carlo simulation- (MCS) based evaluation framework. In addition, this paper describes prototypical implementation. Field test results and identified technical issues are also discussed. It is expected that the proposed system would be an invaluable precursor to develop a next-generation traffic surveillance system.
Keywords
Traffic surveillance systems; Individual vehicle trajectory; Vehicle-to-Vehicle Communication; Microscopic traffic simulator; Travel time;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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