Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
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Updated
Sep 4, 2024 - Python
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control
Decision Intelligence platform for Traffic Crossing Signal Control
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
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".
Investigating Q-Learning and DQN variants for Traffic Signal Control problem
This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
Designing and Modelling of an Intelligent Traffic Signal Controller using FSM in Verilog HDL
IoT based Traffic Signals, developed to be implemented in special conditions to manipulate the Traffic Lights during a Green Coridor
Traffic Signal Controll by Tracking, counting and speed estimation of vehicles on surveillance cameras using YOLO v9 and Reinforcement Learning
Algorithm for distributed traffic signal control
Code for "Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies"
Scalable Reinforcement Learning Framework for Traffic Signal Control under Communication Delays
🚦 Smart Traffic Signal System with Vehicle Detection using Arduino! 🚗 Optimizes traffic flow with dynamic signal adjustments. Two Arduino UNO boards orchestrate the magic. Simulated on Tinkercad for easy testing. 🌐
This project is a part of my Master's thesis and aims to improve traffic flow and reduce delays with the power of AI.
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