FYP-ITMS/Intelligent-Traffic-Management-System-using-Machine-Learning
We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.
This system helps traffic managers dynamically adjust traffic light timings based on real-time vehicle density. It takes live video feeds of intersections as input and outputs optimized signal durations to reduce congestion. Traffic operations engineers and city planners would find this tool useful for managing urban traffic flow.
No commits in the last 6 months.
Use this if you need to automate and optimize traffic light cycles at busy intersections to improve traffic flow.
Not ideal if you are looking for a system to manage highway traffic or require manual override for all signal changes.
Stars
64
Forks
29
Language
Python
License
CC0-1.0
Category
Last pushed
Mar 31, 2021
Commits (30d)
0
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