rdulmina/Traffic-Control-Reinforcement-Learing-Agent
Deep Reinforcement Learning Agent to control traffic light providing emergency facilitation using real-time traffic data.
This project helps traffic planners and city engineers reduce congestion and prioritize emergency vehicles at intersections. It takes real-time traffic sensor data, including vehicle waiting times, and produces optimized traffic light schedules. Urban planners and traffic management professionals can use this to improve traffic flow in their cities.
No commits in the last 6 months.
Use this if you manage urban traffic flow and need to intelligently adjust traffic light timing to minimize congestion and ensure emergency vehicles pass quickly.
Not ideal if you are looking for a simple, rule-based traffic light controller without considering real-time data or advanced optimization.
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Last pushed
Feb 11, 2021
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