This project is used for dynamic handling of traffic rules without human intervention

This is an experiment environment for AWS IoT MQTT

A traffic congestion prediction system that processes video feeds to classify traffic levels (light, moderate, heavy, congested). Built with FastAPI, Docker, and AWS, it uses EfficientNet B0 for accurate predictions, focusing on vehicle count, size, and direction.

🚦 Fuzzy Logic Traffic Controller: A dynamic system for managing traffic signals based on fuzzy logic to optimize flow and reduce congestion.

It's a simple python script to predict the traffic signs

Python-based webscraper for scraping traffic data from the Dutch traffic information service, [vid.nl](https://www.vid.nl)

ML based system that allocates traffic signals dynamically based on traffic density on lanes and identifies ambulance to prioritize it to make way first.

This uses raspberry pi 4, usb web cam, usb microphone, traffic light module and AI models are finetuned yolov8n for vehicle and ambulance detection, and a 2D CNN trained from scratch for Audio classificaiton for ambulance siren.

Pure eBPF implementation of distributed ABD algorithms

Traffic Congestion Detection system that processes video feeds to classify traffic levels (light, moderate, heavy, congested). Built with FastAPI, Docker, and AWS, it uses EfficientNet B0 for accurate predictions, focusing on vehicle count, size, and direction.

DuelDQN/DQN for Traffic Control in Sumo-RL environment

This repository is dedicated to Fundementals of Systems Science.

An AI project about dynamic traffic light configuration which use openCV2 to analyze the current scene. Using colored blocks as a replacement for motorcycle, cars and trucks.

Intelligent traffic light controller using fuzzy logic with real-time inputs and Python simulation.

All the Python codes and files I used for my UIUC M.S. Thesis in Evaluating Control Strategies for AVs

Network emulation for MPI programs using Linux traffic control module

A comprehensive, intelligent traffic control system that uses computer vision and machine learning to optimize traffic flow, reduce congestion, and improve urban transportation.

Traffic Flow Optimization and Congestion Management Tool - S.A.D.A.K