Abstract: Connected vehicle technology aim to solve some of the biggest challenges in the transportation in the areas of safety, mobility and environment. The safety application for Intelligent Transport System (ITS) is one of the main objectives in this Paper we focus on V2V communication, once cars are connected which is able to share data with other cars on the road and which help to reduce Highway accidents. Ultimately, vehicles are connect via multiple complementary technologies of vehicle to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity based on Wi-Fi, Dedicated Short Range Communication (DSRC)/WAVE wireless media to periodically broadcast their position information along with the driving intentions as they approach intersections. We provide a realistic analysis of the VANET topology characteristics over time and space (Collision Detection) for a highway and intersection scenario to integrate real-world road topology and real-time data extracted from the freeway Performance Measurement System (PeMS) database into a microscopic mobility model to generate realistic traffic flows along the highway. Also provides Collision Detection Algorithm, SSM/TEM/TEMA model to improve throughput at crossing points. In this paper we investigate the use of vehicle-to-vehicle (V2V) communications by using above mentioned algorithms and models.
Keywords: ITS, V2V, DSRC WAVE wireless media, VANET, Collision Detection Algorithm, SSM/TEM/TEMA model, NS2, AVR Microcontroller, Sensor.