This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
☆157Nov 13, 2019Updated 6 years ago
Alternatives and similar repositories for Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
Users that are interested in Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to ma…☆504May 24, 2026Updated 2 weeks ago
- multi-agent deep reinforcement learning for large-scale traffic signal control.☆424May 31, 2022Updated 4 years ago
- Distributed Deep Reinforcement Learning Traffic Signal Control☆54Mar 10, 2019Updated 7 years ago
- SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights☆334Mar 24, 2023Updated 3 years ago
- A Deep Reinforcement Learning Network for Traffic Light Cycle Control☆51Mar 22, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control☆221May 5, 2023Updated 3 years ago
- All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/☆190Feb 3, 2020Updated 6 years ago
- Traffic Signal timings using Deep Q-Learning☆70Jul 2, 2017Updated 8 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
- Integrate AutoRL into DQN to implement a single traffic signal control system.☆16Nov 16, 2023Updated 2 years ago
- Traffic Signal Control Competition☆41Apr 17, 2019Updated 7 years ago
- deep reinforcement learing SUMO☆45May 17, 2018Updated 8 years ago
- Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries…☆1,054Mar 8, 2026Updated 3 months ago
- Intelligent traffic control on Vissim by dqn☆62Sep 27, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Traffic Light Control problem using Actor- Critic algorithm in Simulation of Urban Mobility (SUMO) simulator☆18Dec 14, 2021Updated 4 years ago
- Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning☆68Nov 17, 2020Updated 5 years ago
- This study is to investigate the optimal control strategies at crosswalks using traffic signal controllers. A multi-agent reinforcement l…☆12Jan 3, 2023Updated 3 years ago
- Investigating Q-Learning and DQN variants for Traffic Signal Control problem☆29Jul 10, 2022Updated 3 years ago
- multi agent RL for traffic light control in Sumo using distributed PPO☆144Jun 6, 2023Updated 3 years ago
- Adaptive Traffic Signal Control of Autonomous Vehicles using Multi-Agent Reinforcement Learning techniques and SUMO tool for vehicular si…☆39Jul 9, 2022Updated 3 years ago
- This is our Final Year Project in Bachelors. We try to avoid congestion on two levels i.e Intersection level and Infrastructure to Vehicl…☆10Oct 12, 2020Updated 5 years ago
- Traffic Lights Control with Deep Learning☆73Sep 9, 2022Updated 3 years ago
- Decentralized Deep Reinforcement Learning based Real-World Applicable Traffic Signal Optimization☆11Jul 4, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Control Traffic lights intelligently with Reinforcement Learning!☆16Jun 11, 2020Updated 6 years ago
- Reinforcement learning for traffic signal control (published research)☆38Oct 24, 2025Updated 7 months ago
- Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach☆24Jul 15, 2021Updated 4 years ago
- An open source traffic light control program☆11Sep 28, 2018Updated 7 years ago
- Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)☆173Dec 11, 2025Updated 6 months ago
- Demos of reinforcement learning on Simulation of Urban MObility☆26Nov 23, 2019Updated 6 years ago
- Optimize traffic flow at intersections with a Deep Q-Learning agent. Utilizes reinforcement learning to control traffic signals efficient…☆44May 2, 2026Updated last month
- my udacity projects☆22Jan 22, 2017Updated 9 years ago
- SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control☆43Feb 18, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- CoLight: Learning Network-level Cooperation for Traffic Signal Control☆216May 5, 2023Updated 3 years ago
- ☆44Feb 12, 2020Updated 6 years ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆45Jan 13, 2020Updated 6 years ago
- CoOP: V2V-based Cooperative Overtaking for Platoons on Freeways☆10Oct 29, 2021Updated 4 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
- ☆21Oct 11, 2021Updated 4 years ago
- Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem☆130Sep 28, 2022Updated 3 years ago