DYNAMIC VEHICLE TRAFFIC MANAGEMENT SYSTEM

Supriya Kamoji, Aswathi Nambiar, Karishma Khot, Ravi Bajpai

Abstract: Traffic congestion on city road networks is one of the main issues to be addressed by today’s traffic management schemes. The frequent traffic jams at major junctions call for an efficient traffic management system in place. The image sequences from a camera are analyzed using edge detection technique, object counting method and queue length estimation to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The paper also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others. Using image-processing operations to calculate traffic density is cost effective as cameras are cheaper and affordable devices compared to any other devices such as sensors.

Keywords: Edge detection, Object counting, vehicle queue length, traffic management, image processing

DOI: https://doi.org/10.15623/ijret.2015.0404063