Decision Intelligence platform for Traffic Crossing Signal Control
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Updated
Mar 22, 2023 - Python
Decision Intelligence platform for Traffic Crossing Signal Control
Decentralized reinforcement learning for city-scale traffic light control
Deep Reinforcement Learning Agent to control traffic light providing emergency facilitation using real-time traffic data.
Intelligent Traffic Light Controller
A multi-agent deep reinforcement learning model to de-traffic our lives
This project simulates and optimizes traffic flow at a four-way intersection, employing Petri nets (Java) for simulation and a genetic algorithm (Java) to determine optimal traffic light phase durations. Python scripts are included for visualizing simulation statistics, fitness landscapes, and the algorithm's evolution, aiming to minimize traffic.
Traffic Light Control using Reinforcement Learning.
D-DOC: DDPG-based Reinforcement Learning for Highway Ramp-Metering Control under Delayed Observations and Continuous-action Space https://heyzine.com/flip-book/59e53eabc9.html
A simple traffic light controller for Raspberry Pico
Jam Clogger is an AI-powered system whose puprose is to efficiently control traffic to reduce traffic congestion.
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