Abstract
How to solve rear-end collision warning problem has become an increasingly tough task nowadays. Numerous studies have been investigated on this field in past decades, either time-consuming or with strict assumptions. In this paper, we have proposed a collaborative rear-end collision warning algorithm (CORECWA), to assess traffic risk in accordance with real-time traffic data detected, transmitted and processed, by vehicles and infrastructures in vehicular ad hoc networks (VANETs) collaboratively. CORECWA considers some influential factors, including space headway between the two preceding and following vehicles, velocity of these two vehicles, drivers’ behavior characteristics, to evaluate the current traffic risk of the following vehicle. Experiments results demonstrate that CORECWA can gain better performance, compared with a well-acknowledged algorithm HONDA algorithm.
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Acknowledgments
This work is supported partially by Research Fund of the Education Department of Zhejiang, China (Grant No. Y201534553), Zhejiang Provincial Natural Science Foundation of China (Grant No. LY14F020008, LQ12D01004, LZ15F020001), and Public Welfare Technology Applied Research Program of Zhejiang Province (Grant No. 2014C33108).
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© 2016 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhou, B., Lv, H., Chen, H., Xu, P. (2016). A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks. In: Guo, S., Liao, X., Liu, F., Zhu, Y. (eds) Collaborative Computing: Networking, Applications, and Worksharing. CollaborateCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 163. Springer, Cham. https://doi.org/10.1007/978-3-319-28910-6_30
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DOI: https://doi.org/10.1007/978-3-319-28910-6_30
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