A Smart Driving Assistant System using Internet of Things

Abstract

Current technologies have been evolved day by day for the betterment of the human life style, because of these
technologies necessary comfort and safeties are enjoyed by the people. Due to increased vehicle density, infringement of
rules and rashness many accidents may occur. The main objective of this paper is to prevent the vehicle accident while
crossing the pavement edge line of the road and using mobile crowd sensing system, distribute the alert message to the
drivers travelling on the congested roads. Bat algorithm is used to predict the edge line and calculating the distance between
the vehicle and the edge line. The proposed edge line detection algorithm is helpful for preventing the road accident caused
by the car drivers while crossing pavement the edge line of the road. When the driver crosses the edge line of the road, the
speed of the vehicle is to be controlled by ESC (Electronic Stability Control) program inside the vehicle. By using mobile
crowed sensing architecture, collect alerts from people driving on the congested roads and then distributes the alerts to other
drivers. The drivers from other roads can be benefits from real time traffic information. In this proposed edge line detection
method an additional feature such as sending SMS to the registered mobile number along with GPS location of the car and
the information about the route, traffic signal and distance to reach the destiny is also given based on the user’s request.