yossidoctor/AI-Traffic-Lights-Controller
Using reinforcement learning and genetic algorithms to improve traffic flow and reduce vehicle waiting times in a single-lane two-way junction simulator by coordinating traffic signal schedules.
This helps traffic planners and urban engineers optimize traffic signal timing to reduce congestion and vehicle wait times at two-way, single-lane intersections. It takes in junction layouts and traffic flow patterns, then outputs optimized traffic light schedules. Urban planners and traffic management professionals would use this to evaluate and improve intersection efficiency.
No commits in the last 6 months.
Use this if you need to simulate and optimize traffic light performance for a single-lane, two-way junction to reduce vehicle waiting times.
Not ideal if you need to manage complex multi-intersection networks or real-time adaptive traffic systems.
Stars
28
Forks
9
Language
Python
License
—
Category
Last pushed
Feb 27, 2023
Commits (30d)
0
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