Traffic-Alpha/iLLM-TSC
This repository contains the code for the paper“iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement”
This system improves urban traffic flow by making traffic signal control smarter. It takes real-time traffic data as input and produces optimized traffic light timings that reduce congestion and prioritize emergency vehicles. Traffic engineers and urban planners can use this to enhance city mobility.
No commits in the last 6 months.
Use this if you manage urban traffic systems and want to integrate advanced AI to make signal timing more adaptive and responsive to real-world conditions.
Not ideal if you are looking for a simple, rule-based traffic light controller without complex AI integration or real-time adaptability.
Stars
70
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 06, 2025
Commits (30d)
0
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