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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Li, L., Lu, G., Wang, Y., Tian, D.: A rear-end collision avoidance system of connected vehicles. In: 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China (2014)
Wang, J., et al.: An adaptive longitudinal driving assistance system based on driver characteristics. IEEE Trans. Intell. Transp. Syst. 14, 1–12 (2013)
Chang, B.R., Tsai, H.F., Young, C.P.: Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing. Expert Syst. Appl. 37(1), 2439–2450 (2009)
Wei, Z., Xiang, S., Xuan, D., Xu, L.: An adaptive vehicle rear-end collision warning algorithm based on neural network. In: Zhu, M. (ed.) ICCIC 2011, Part VI. CCIS, vol. 236, pp. 305–314. Springer, Heidelberg (2011)
Chang, T.H., Chou, C.J.: Rear-end collision warning system on account of a rear-end monitoring camera. In: Intelligent Vehicles Symposium, pp. 913–917. IEEE (2009)
Fujita, Y., Akuzawa, K., Sato, M.: Radar brake system. In: Proceedings of the 1995 Annual Meeting of ITS America, vol. 1, pp. 95–101 (1995)
Saccomanno, F., Cunto, F.: Comparing safety at signalized intersections and roundabouts using simulated rear-end conflicts. Transp. Res. Rec. J. Transp. Res. Board 2078(1), 90–95 (2008)
Oh, C., Oh, J., Min, J.: Real-time detection of hazardous traffic events on freeways. Transp. Res. Rec. J. Transp. Res. Board 2129(1), 35–44 (2009)
Yang, H., Ozbay, K., Bartin, B.: Application of simulation-based traffic conflict analysis for highway safety evaluation. In: 12th WCTR, Lisbon, Portugal (2010)
Sharizli, A.A., Rahizar, R., Karim, M.R., Saifizul, A.A.: New Method for Distance-based Close Following Safety Indicator. In: Traffic Injury Prevention, vol. 16, no. 1, pp. 190–195(2014)
Lv, H., Zhou, B., Chen, H., Ren, T., Chen, Y.A.: VANET-based real-time rear-end collision warning algorithm, Technical report (2015)
Yi, Z.Z., Erik, K.A., Karl, G.: A new threat assessment measure for collision avoidance systems. In: IEEE Intelligent Transportation Systems Conference, Toronto (2006)
Layton, R., Dixon, K.: Stopping sight distance. Kiewit Center for Infrastructure and Transportation, Oregon Department of Transportation (2012)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-28910-6_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28909-0
Online ISBN: 978-3-319-28910-6
eBook Packages: Computer ScienceComputer Science (R0)