Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
-
Updated
May 28, 2024 - Python
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Decision Intelligence platform for Traffic Crossing Signal Control
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
This repository contains the code for the paper "LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments".
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
Integrate AutoRL into DQN to implement a single traffic signal control system.
Study on the application of reinforcement learning to the management of a traffic light intersection.
Adaptive traffic signal control using deep reinforcement learning built using SUMO
This project is a part of my Master's thesis and aims to improve traffic flow and reduce delays with the power of AI.
Scalable Reinforcement Learning Framework for Traffic Signal Control under Communication Delays
Algorithm for distributed traffic signal control
The "Traffic Congestion Reduction with SARSA" applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
Add a description, image, and links to the traffic-signal-control topic page so that developers can more easily learn about it.
To associate your repository with the traffic-signal-control topic, visit your repo's landing page and select "manage topics."