There are 4 repositories under traffic-signal-control topic.
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
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
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control
Investigating Q-Learning and DQN variants 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.
This project is a part of my Master's thesis and aims to improve traffic flow and reduce delays with the power of AI.
Designing and Modelling of an Intelligent Traffic Signal Controller using FSM in Verilog HDL
Investigating Q-Learning and DQN variants for Traffic Signal Control problem
The arduino code for the desity based traffic signal system
Algorithm for distributed traffic signal control
IoT based Traffic Signals, developed to be implemented in special conditions to manipulate the Traffic Lights during a Green Coridor
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.
🚦 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. 🌐
Traffic Signal Controll by Tracking, counting and speed estimation of vehicles on surveillance cameras using YOLO v9 and Reinforcement Learning