As cities grow in population and the number of vehicles increases, traffic congestion has become a major problem. Traffic jams lead to delays, driver stress, higher fuel consumption, and increased air pollution. Megacities are particularly affected. To manage traffic effectively, it's essential to calculate road traffic density in real-time. Optimizing traffic control is crucial for this. The system uses live images from traffic cameras and AI-based image processing to measure vehicle density and adjust traffic signals accordingly, reducing congestion, speeding up transit, and lowering pollution.
YOLO-based Traffic Signal Optimization for Intelligent Traffic Flow Management
2024-10-03
449265 byte
Conference paper
Electronic Resource
English
Intelligent Traffic Light System Using YOLO
Springer Verlag | 2022
|Intelligent Traffic Management System Using YOLO Machine Learning Model
Springer Verlag | 2022
|Traffic Management System Using YOLO
IEEE | 2025
|Intelligent traffic signal lamp control system and method based on YOLO model
European Patent Office | 2023
|