Smart Traffic Light Management System employs SUMO and reinforcement learning to dynamically optimize signal timings, reducing congestion and enhancing traffic flow at San Jose downtown. Adapting to real-time patterns, the system efficiently minimizes delays, elevating the overall urban mobility experience
☆25Nov 29, 2023Updated 2 years ago
Alternatives and similar repositories for Smart-Traffic-Light-Management-System
Users that are interested in Smart-Traffic-Light-Management-System are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Smart Traffic Management System which changes window time of green light based on density of vehicles.☆15Jul 29, 2019Updated 6 years ago
- This GitHub repo hosts an RL-based Traffic Light Control System (TLCS) for optimizing intersections. Employing Reinforcement Learning, it…☆14Nov 23, 2023Updated 2 years ago
- Deals with an idea to Remove Traffic Congestion in metropolitan cities and maintain smooth flow of traffic thereby reducing Traffic Jams.☆51Aug 21, 2021Updated 4 years ago
- The traffic light duration is calculated using a model calculating weighted mean of the following factors :- a) The congestion coefficien…☆46Mar 18, 2019Updated 7 years ago
- A smart traffic light control system using DQN reinforcement learning model, trained on simulated traffic data generated by SUMO and depl…☆10May 10, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This project develops a Dynamic Traffic Light Management System (DTLMS) using SUMO and reinforcement learning to optimize traffic signals…☆18Nov 22, 2023Updated 2 years ago
- ☆13Nov 1, 2024Updated last year
- SUMO Scenario Generator is a web application that generates and downloads the necessary files to start a basic road traffic simulation in…☆12Jun 25, 2020Updated 5 years ago
- Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control☆24Sep 2, 2023Updated 2 years ago
- Optimal-Control-for-Connected-and-Autonomous-Vehicles-at-Signal-Free-Intersection.☆15Dec 21, 2023Updated 2 years ago
- 交通信号灯单路口控制☆13Sep 7, 2019Updated 6 years ago
- Optimizing traffic flow and reducing congestion through an intelligent traffic signal switching algorithm.☆26Apr 28, 2024Updated 2 years ago
- REALTIME EFFICIENT TRAFFIC MONITORING☆34Mar 22, 2021Updated 5 years ago
- we will be going to accomplish this project by using Python Networking, BLOB, Haar-Cascade, OpenCV, Raspberry Pi☆15Sep 13, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- codes for paper 《Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions》☆14Apr 3, 2022Updated 4 years ago
- The code repo for paper "Multi-intersection Traffic Optimisation: ABenchmark Dataset and a Strong Baseline"☆11Mar 15, 2022Updated 4 years ago
- OpenAI-gym-like Reinforcement Learning environment for Dispatching of Mobile Chargers with SUMO. Compatible with Gym and popular RL libra…☆15Mar 16, 2025Updated last year
- ☆10May 17, 2017Updated 9 years ago
- Code for "Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies"☆11Jun 27, 2025Updated 10 months ago
- A risc v based architecture to develop a core/ processor which is capable of Matrix MAC Operations☆12Apr 21, 2024Updated 2 years ago
- A python implementation of the cell transmission model (CTM) for macroscopic traffic flow simulation.☆23Dec 6, 2021Updated 4 years ago
- Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning☆68Nov 17, 2020Updated 5 years ago
- An implementation of the traffic simulation optimisation with reinforcement learning, with FLOW and SUMO.☆17Jan 15, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Improving coordinated (two intersections) transit signal priority on bus travel time and headway reliability with single agent reinforcem…☆14Oct 2, 2021Updated 4 years ago
- The Adaptive Traffic Lights system uses live images from the cameras at traffic junctions for traffic density calculation using YOLO obje…☆12May 20, 2024Updated 2 years ago
- ☆12Apr 4, 2024Updated 2 years ago
- Create Custom GYM Environment for SUMO and reinforcement learning agant☆15May 5, 2023Updated 3 years ago
- Deep Q-Learning traffic light agent using Reinforcement Learning to maximize efficiency in a custom SUMO environment☆12Jul 26, 2023Updated 2 years ago
- Using RL-controlled vehicles as traffic regulator to reduce the travel time of emergency vehicles near intersections☆11Jan 27, 2022Updated 4 years ago
- Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove th…☆89Sep 9, 2019Updated 6 years ago
- Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach☆14May 10, 2024Updated 2 years ago
- A decision-making framework based on the simulation Carla and multi-modal sensors. The implementation of paper "AUTO : A Parameterized De…☆30Oct 18, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 使用YOLOv5与Sort算法对道路监控视频中的车流量、速度与密度参数进行提取，使用transformer对未来的交通流参数进行预测☆25Sep 26, 2024Updated last year
- SUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority☆17Feb 21, 2023Updated 3 years ago
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆17May 2, 2022Updated 4 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆14May 5, 2026Updated 2 weeks ago
- Learn how to build Streamlit application in Data Science☆13Apr 16, 2026Updated last month
- Integrate AutoRL into DQN to implement a single traffic signal control system.☆16Nov 16, 2023Updated 2 years ago
- Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning☆87Jul 22, 2023Updated 2 years ago