Intelligent Traffic Control System by Using Image Information

TL;DR

This paper presents an intelligent traffic control system that uses real-time image-based traffic flow data and classical traffic models to optimize signal timing at two-lane intersections, demonstrated through a simulated environment.

Contribution

It introduces a novel integration of image processing, traffic flow modeling, and signal control algorithms for real-time traffic management at intersections.

Findings

Improved traffic flow efficiency in simulation

Effective use of image data for traffic analysis

Enhanced signal control performance

Abstract

This paper implements a traffic signal control system by using real-time traffic flow feedback. This system is designed to deal with two-lane intersections. We construct an experiment field similar to the roads and drivers in Taiwan using an autonomous simulation software called Virtual Test Drive (VTD) released by MSC Software. We erect four cameras on the side of the roads to get the image of the intersection, then transfer the image information into traffic flow information. Analyze the traffic information in each lane by using Greenshields traffic flow model. Control the traffic signals by using Webster's method to increase the performance and soothe the traffic.