Computer Vision in Control and Optimization of Road Traffic
Vladyslav Zinchenko, Galyna Kondratenko, Ievgen Sidenko, Yuriy Kondratenko
Abstract
This paper presents the approaches and methods used in computer vision for the detection of moving objects and their tracking. Ways of using computer vision methods to optimize and control traffic are investigated. Every day, the number of vehicles on the roads is increasing and congestion problems are getting worse. The main goal in the development of modern traffic management systems is to create effective traffic management mechanisms in accordance with dynamic traffic conditions. Nowadays, the systems that regulate traffic have many drawbacks. The main ones, that such systems are working according to a predefined program and not being aware of the proper real-time data. This paper focuses on a novel approach to road traffic management by incorporating an intelligent traffic light controlling system using an algorithm that consumes real data from closed-circuit television (CCTV) cameras. As part of the solution, have been developed a program using a popular programming platform that would calculate sets of drive orders for traffic signal lights. The main goal of the proposed system is to provide better results in terms of reduced waiting delay for pedestrians and vehicles, shorter travel time, and increased average velocity of vehicles.