Early car collision prediction in VANET

Traffic safety is critical to our lives. In recent years, the increasing traffic accidents have brought considerable deaths. Reducing the rate of car accident has become one of the most important tasks in transportation field. VANET is a widely used platform contributing to possible solutions. In the past, there are protocols to generate or broadcast warning messages after vehicle collision. However, since most of them are made after car accidents have already occurred, they may help accident investigation but do not prevent the accident from taking place. In this paper, we proposed a method using support vector machine(SVM) [1] for early car accident detection in VANET. Once any dangerous situation is predicted, immediately the endangered driver gets a alert along with a suggestion to avoid danger.

[1]  Constandinos X. Mavromoustakis,et al.  Network Size Estimation in VANETs , 2013, Netw. Protoc. Algorithms.

[2]  Dot Hs,et al.  National Motor Vehicle Crash Causation Survey , 2008 .

[3]  Juan-Carlos Cano,et al.  A VANET Solution to Prevent Car Accidents , 2008 .

[4]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[5]  Luca Delgrossi,et al.  IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[6]  Hannes Federrath,et al.  VANETsim: An open source simulator for security and privacy concepts in VANETs , 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

[7]  Siu-Ming Yiu,et al.  Distributing blackbox data to multiple vehicles in a secure and privacy-preserving manner , 2014, 2014 International Conference on Connected Vehicles and Expo (ICCVE).

[8]  Falko Dressler,et al.  A Vehicular Networking Perspective on Estimating Vehicle Collision Probability at Intersections , 2014, IEEE Transactions on Vehicular Technology.

[9]  Gongjun Yan,et al.  Trust On the Security of Wireless Vehicular Ad-hoc Networking , 2015, Ad Hoc Sens. Wirel. Networks.

[10]  Miguel Garcia,et al.  Group-based protocol and mobility model for VANETs to offer internet access , 2013, J. Netw. Comput. Appl..

[11]  Domitilla Del Vecchio,et al.  Cooperative Collision Avoidance at Intersections: Algorithms and Experiments , 2013, IEEE Transactions on Intelligent Transportation Systems.

[12]  Christian Bonnet,et al.  VanetMobiSim: generating realistic mobility patterns for VANETs , 2006, VANET '06.

[13]  Antonella Molinaro,et al.  Improving V2R connectivity to provide ITS applications in IEEE 802.11p/WAVE VANETs , 2011, 2011 18th International Conference on Telecommunications.

[14]  Lucas C. K. Hui,et al.  Secure, privacy-preserving, distributed motor vehicle event data recorder , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[15]  Subir Biswas,et al.  Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety , 2006, IEEE Communications Magazine.