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
May 24, 2026 - Python
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.
A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
Aggregate Traffic Signal Performance Measures from ATC controller hi-res event logs.
Robust decomposition, anomaly and change point detection methods for use on automobile traffic data.
Optimizing traffic signals based on Cell Transmission Model
This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
NTCIP 1202 traffic-signal attack lab: emulated controller + SUMO intersection. snmpset commands drive a live SUMO-GUI window.
The provided Blazor code implements a Traffic Signal Management system featuring two sections: the Traffic Analyzer and Global Configuration. The Traffic Analyzer displays real-time traffic information, including current and next open directions, remaining time, and selected direction, with dynamically changing button colors indicating intervals.
🌆 HeteroLoop Urban Simulation System | 异环都市仿真系统 — Real-time 3D city traffic simulation with Three.js. Vehicle, e-bike, pedestrian systems with adaptive traffic signals.
In this project, a single device which can control a cross-road traffic. A traffic police can control a cross-road using this.
Smart traffic signal controller designed using Verilog HDL, based on Finite State Machine (FSM) logic. The project focuses on simulation-based verification using testbenches and waveform analysis with GTKWave, demonstrating core FPGA and digital design concepts.
OpenEnv-compliant RL environments for traffic signal control, email sorting, and multi-intersection optimization. Built for Meta PyTorch OpenEnv Hackathon.
Trying to improve the traffic stopmeter
CrewAI Multi-Agent Traffic Signal Control — LLM-powered ±10s timing adjustment for smart city intersections
A Traffic Lights Simulation App with Core Data SwiftUI with two Screens one for Simulation and the second one is for History of events and timestamp of light changes.
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