A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
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Updated
Feb 17, 2022 - C++
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Investigating Q-Learning and DQN variants for Traffic Signal Control problem
Investigating Q-Learning and DQN variants 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
🚦 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. 🌐
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