A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
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Updated
Apr 22, 2024 - Jupyter Notebook
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
This repository contains source code for past labs and projects involving FPGA and Verilog based designs
🚥 An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.
Reliable Mechanism or circuit made using Arduino Microcontrollers and Radio Frequency Transceiver for Faster Emergency Vehicle Exit In traffic Jams
Autonomous driving simulator, longitudinal control for a traffic light enviroment, lateral control using preview point (also lateral control using clothoids), path planning using RRT algorithm
A TensorFlow implementation of TrafficLightNeuralNetwork (ANN-based Traffic Light Controller).
GLD /w model based RL : MDP
Our open-source academic research files, codes, data, and so on.
Intelligent Traffic Light Controller
Image Processing - Edge Detection
Deep Reinforcement Learning Agent to control traffic light providing emergency facilitation using real-time traffic data.
🚦 A digital controller to control traffic in Verilog HDL
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Primer proyecto del curso Diseño de Sistemas Digitales. La idea es generar un código en ensamblador capaz de resolver un problema de intersección utilizando el lenguaje de programación ARM.
a VHDL code for a traffic light controller on FPGA is presented.
A simple traffic light controller for Raspberry Pico
Deep reinforcement learning for traffic light control in transportation networks
Mathematical Modeling
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