In this paper, a vision-based adaptive traffic light controller is proposed. The proposed controller was successfully deployed and tested as a complete system in a complex roundabout in Colombo city at a highly congested time. There were two main parts to this implementation. The first part was a vision-based traffic monitoring system. In this part, a system was developed so that it monitored lanes in a junction with cameras and extracted a traffic index based on traffic density, vehicle type, and pixel-wise velocity of vehicles by processing the video streams coming from cameras. The traffic signal light controlling part was the second part of the project. This part dealt with estimating a better timing adjustment for the existing system using a mathematical modeling approach while taking the extracted traffic index as input. This system was operated with the existing system with minimum alterations for easy real-world implementation. The developed prototype was plugged into the existing system to change traffic light phase timing according to the existing traffic level.
Vision-Based Adaptive Traffic Light Controller for Single Intersection
2020-12-02
7503070 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
ADAPTIVE TRAFFIC LIGHT CONTROL METHOD IN ROAD INTERSECTION
Europäisches Patentamt | 2019
|ADAPTIVE TRAFFIC LIGHT CONTROL METHOD IN ROAD INTERSECTION
Europäisches Patentamt | 2019
Fuzzy Traffic Light Controller Using Sugeno Method for Isolated Intersection
Tema Archiv | 2009
|