The arduino code for the desity based traffic signal system

Designing and Modelling of an Intelligent Traffic Signal Controller using FSM in Verilog HDL

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control

Adaptive traffic signal control using deep reinforcement learning built using SUMO

Investigating Q-Learning and DQN variants for Traffic Signal Control problem

Investigating Q-Learning and DQN variants for Traffic Signal Control problem

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

IoT based Traffic Signals, developed to be implemented in special conditions to manipulate the Traffic Lights during a Green Coridor

Study on the application of reinforcement learning to the management of a traffic light intersection.

Decision Intelligence platform for Traffic Crossing Signal Control

This project is a part of my Master's thesis and aims to improve traffic flow and reduce delays with the power of AI.

Integrate AutoRL into DQN to implement a single traffic signal control system.

Algorithm for distributed traffic signal control

🚦 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. 🌐

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.

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".