Paper Details

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

Dr. G. Kalpana, Mr. V. Raja, “A Smart Driving Assistant System using Internet of Things”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 599-603, February 2018.