GitHub / greenFantasy / ai-traffic-control
Reinforcement Learning for Traffic Signal Optimization. We significantly reduce travel time compared to existing signal timing methods by training RL agents with omnipresent induction sensor data.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/greenFantasy%2Fai-traffic-control
PURL: pkg:github/greenFantasy/ai-traffic-control
Stars: 1
Forks: 0
Open issues: 2
License: None
Language: Python
Size: 18.8 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: almost 3 years ago
Pushed at: about 3 years ago
Last synced at: about 1 year ago
Commit Stats
Commits: 144
Authors: 3
Mean commits per author: 48.0
Development Distribution Score: 0.451
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/greenFantasy/ai-traffic-control
Topics: machine-learning, rl, traffic-light, traffic-simulation