Akademik Veri Yönetim Sistemi
3rd International Conference on Sustainable Expert Systems, ICSES 2022, Lalitpur, Nepal, 9 - 10 Eylül 2022, cilt.587, ss.863-875
Traffic accidents have dramatically grown in recent years as a result of an increase in the number of vehicles. The driver’s speed is one of the main contributors to these collisions since it is inappropriate for the traffic and road conditions. To stop driver infractions, numerous safety measures have been implemented. Today, radar equipment and camera speed restrictions are widely employed to prevent accidents brought on by speed-related infractions. The average speed of the vehicle is determined in this study utilizing the videos and pictures taken by the Electronic Detection System (EDS) installed at various points along the route of a vehicle. The vehicle is identified by its license plate number, and image processing determines its speed. The data provided by the cameras capturing the same vehicle are used to calculate the average speed. When a vehicle enters the field of vision of a camera, the camera records the vehicle’s time and speed. The distance between any two cameras is the final factor used to compute average speed. With the help of the Bing Maps API, the shortest path distance between any two cameras is determined.