Prediction And Control Of Accident Risks Using Logistic Model Learning Technique

Abstract

There are lots of studies about preventing or detecting the car accidents. Most of them includes sensing objects which might cause accident or statistics about accidents. In proposed work, a solution which will provide the best route to all vehicle will be provided. Our solution will collect necessary information from neighbor vehicles and process that information using machine learning tools to find the best possible path for all of the vehicles. Machine learning algorithms have shown success on finding the best route out of many in ranges where a normal human being can’t. This work aims to analyze traffic behavior and consider vehicles which move different than current traffic behavior as a possible accident and finally purpose a solution