Research Article
A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks
@INPROCEEDINGS{10.1007/978-3-319-28910-6_30, author={Binbin Zhou and Hexin Lv and Huafeng Chen and Ping Xu}, title={A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks}, proceedings={Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings}, proceedings_a={COLLABORATECOM}, year={2016}, month={2}, keywords={Rear-end collision warning Vehicular ad hoc networks Traffic risk assessment}, doi={10.1007/978-3-319-28910-6_30} }- Binbin Zhou
Hexin Lv
Huafeng Chen
Ping Xu
Year: 2016
A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks
COLLABORATECOM
Springer
DOI: 10.1007/978-3-319-28910-6_30
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 algorithm.
