Driving pattern using sensor generated data

Abstract

Rash driving has become a trend in today’s world. Speed limit violation has largely increased the rates of mishaps happening. The drivers are carelessly ignoring the road safety rules that cause a threat to the surrounding society by their rash driving. A reliable method to take care of this kind of ignorant behavior and to reduce the accident rate, is being introduced in this paper, which is done by monitoring the driver’s driving style in their learning phase. This method intends to check the eligibility of the driver to gain a license by classifying them in groups of a SAFE or UNSAFE DRIVER which can help to filter harsh drivers to a large extend. To be eligible for the license the driver should pass the test by overcoming all the constraints set by the system. The introduced method targets in reducing the number of careless drivers which may naturally help with lowering the accidents caused by improper or harsh driving. It concludes with the discussions of the challenges, results and future works of the proposed technique.