Path Prediction Optimization and Secure Traffic Management Using VANET

Abstract

There has been a significant growth in the number of private automobiles in the previous decade as a result of technological advancements and changes in people’s lifestyles. This creates a major problem of congestion main reason being the transportation infrastructure’s inadequately construction and maintenance, which is the case in most major cities. By broadcasting the vehicle’s current location and surroundings in real time to other adjacent cars and roadside devices, VANETs may help alleviate traffic congestion by using intelligent algorithms to anticipate and avoid potential bottlenecks on the route. This can also be used to predict the shortest path from initial location to destination making it easy for the drivers in the choosing the right path. To implement all these functionalities, we need a robust and secure communication channel and also an intelligent and complex algorithm. Our aim is to predict a lane with least probability of accidents and find the shortest path with least travelling time and congestion. This keeps the user informed regarding the surrounding scenario’s and makes more coordinated, safer, and optimal use of transport networks.