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
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.
A multi-agent deep reinforcement learning model to de-traffic our lives
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
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