Safety improvement in Vehicular Communication Systems

Abstract

Sensor-Based collision avoidance systems are the rising new technology which aims to reduce the accidents rate. Although it has succeeded in reducing the rate of the accidents, it has some limitations according to the type of the used sensor. One of these limitations is the coverage of the used sensor which cannot cover all environment surrounded by the vehicle. This problem can be a fatal impediment against avoiding the possible accidents. Vehicle To Vehicle (V2V) is one of the promising solutions to reduce the rate of all the expected vehicle accidents. V2V is one of the applications of the Internet of Things (IoT) whose main idea is to share the information between the vehicles, this information includes the vehicle’s velocity, headings, acceleration, yaw rate, position, ID, etc. So the vehicles literally see each other whatever their positions are to each other. Many previous algorithms used V2V technology to avoid the collision and reduce the accident rate using the most important factor, which is Time To Collision (TTC). TTC is calculated based on both the relative distance and relative velocity between the vehicles and compared with a fixed threshold.