PHVA: A Position Based High Speed Vehicle Detection Algorithm for Detecting High Speed Vehicles using Vehicular Cloud

High speed vehicles or driving by consuming alcohol is one of the main reasons of accidents. So, the number of accidents can be decreased by controlling the vehicles moving at higher speed. In this paper, we proposed a Position Based High Speed Vehicle Detection Algorithm (PHVA) for detecting the higher speed vehicles in a Vehicular Ad Hoc Network (VANET) by using a vehicular cloud server, where the cloud server is used as computing as a service. The proposed algorithm calculates the speed of a vehicle based on the data directly received from the Road Side Units (RSUs). When a vehicle comes under the coverage of an RSU, RSU receives the time, position and other information about the vehicle. RSU then sends the received information to the Cloud Server (CS). Based on the information received from the nearby RSUs, the CS calculates the average speed for that vehicle in a particular lane. The calculated speed is then compared with that of the permitted speed on that lane. If it is greater than the permitted limit, then the CS increments the speed violation counter for that vehicle. Depending upon the frequency of violation and with the help of Certification Authority (CA), appropriate action will be taken on that high speed vehicle. To check the efficiency of our PHVA algorithm, we simulated our work in Vehicles in Network Simulation (Veins) hybrid simulation framework. Veins uses Simulation of Urban Mobility (SUMO) as the road traffic simulator and OMNeT++ as the network simulator. Both simulators are connected via a TCP socket which has been standardized in Traffic Control Interface (TraCI). The results show that our algorithm has better detection accuracy over ReVISE scheme in this environment.