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Journal Article A Fixed Sensor-Based Intersection Collision Warning System in Vulnerable Line-of-Sight and/or Traffic-Violation-Prone Environment
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Authors
Jeong-Ah Jang, Keechoo Choi, Hanbyeog Cho
Issue Date
2012-08
Citation
IEEE Transactions on Intelligent Transportation Systems, v.13, no.4, pp.1880-1890
ISSN
1524-9050
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TITS.2012.2207952
Abstract
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.
KSP Keywords
Collision warning system, Design speed, Forecast model, Line-Of-Sight(LOS), Real-Time, Research Agenda, Sight distance, Time prediction, Unsignalized intersections, Validation and evaluation, Vehicle location