title: Road Accident Prevention with Instant Emergency Warning Message Dissemination in Vehicular Ad-Hoc Network.
abstract: A Road Accident Prevention (RAP) scheme based on Vehicular Backbone Network (VBN) structure is proposed in this paper for Vehicular Ad-hoc Network (VANET). The RAP scheme attempts to prevent vehicles from highway road traffic accidents and thereby reduces death and injury rates. Once the possibility of an emergency situation (i.e. an accident) is predicted in advance, instantly RAP initiates a highway road traffic accident prevention scheme. The RAP scheme constitutes the following activities: (i) the Road Side Unit (RSU) constructs a Prediction Report (PR) based on the status of the vehicles and traffic in the highway roads, (ii) the RSU generates an Emergency Warning Message (EWM) based on an abnormal PR, (iii) the RSU forms a VBN structure and (iv) the RSU disseminates the EWM to the vehicles that holds the high Risk Factor (RF) and travels in High Risk Zone (HRZ). These vehicles might reside either within the RSU's coverage area or outside RSU's coverage area (reached using VBN structure). The RAP scheme improves the performance of EWM dissemination in terms of increase in notification and decrease in end-to-end delay. The RAP scheme also reduces infrastructure cost (number of RSUs) by formulating and deploying the VBN structure. The RAP scheme with VBN structure improves notification by 19 percent and end-to-end delay by 14.38 percent for a vehicle density of 160 vehicles. It is also proved from the simulation experiment that the performance of RAP scheme is promising in 4-lane highway roads.
authors.affiliation: Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul - 624622, Tamilnadu, India.
authors.forename: P
authors.initials: P
authors.lastname: Gokulakrishnan
authors.affiliation: Department of Information Technology, PSNA College of Engineering and Technology, Dindigul - 624622, Tamilnadu, India.
authors.forename: P
authors.initials: P
authors.lastname: Ganeshkumar
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D003195:Computer Communication Networks; D006801:Humans; D012984:Software