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학술지 A Fixed Sensor-Based Intersection Collision Warning System in Vulnerable Line-of-Sight and/or Traffic-Violation-Prone Environment
Cited 18 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
저자
장정아, 최기주, 조한벽
발행일
201208
출처
IEEE Transactions on Intelligent Transportation Systems, v.13 no.4, pp.1880-1890
ISSN
1524-9050
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TITS.2012.2207952
협약과제
12ZC1100, 메가컨버전스 핵심기술 개발, 김채규
초록
This paper proposes a cooperative intersection collision warning system (CICWS) model that uses fixed traffic sensors to provide warning information to drivers at unsignalized intersections in a real-time manner. The CICWS model is useful for vulnerable line-of-sight and/or traffic-violation-prone environment since it determines whether the situation is really dangerous or not. More specifically, the model is for unsignalized intersections without STOP/YIELD signs, where drivers do not tend to stop. The situation forecast model uses vehicle location, speed, and time data obtained from multiple sensors located at intersection approaches, together with obstacle position and sight distance relationship. More specifically, the model has a real-time sight-distance triangle module and a collision-time prediction module. Using a microtraffic simulator called VISSIM, the validation and evaluation of the model are performed based on different scenarios with different parameters, such as inflow volume, locations of traffic sensors, design speed, and obstacle placement. The results show that the model successfully forecasts dangerous situations up to 94.3%, which may imply the deployment of the model in such an environment where vehicle-to-infrastructure (V2I) or vehicle-to-vehicle (V2V) communication are possible. Some limitations and a future research agenda have also been discussed. © 2011 IEEE.
키워드
Fixed traffic sensor, intersection collision warning, line of sight (LOS), telematics and intelligent transport systems (ITS), traffic safety
KSP 제안 키워드
Collision warning system, Design speed, Forecast model, Intelligent Transport Systems(ITS), Line-Of-Sight(LOS), Real-Time, Research Agenda, Sight distance, Time prediction, Traffic Safety, Traffic sensor