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

Network emulation for MPI programs using Linux traffic control module

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

Documentation:

This is an experiment environment for AWS IoT MQTT

Enhancing Urban Traffic Management through Intelligent Control Systems

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

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.

Web scrapping and Image processing modules for traffic light control assistance for an Isolated Intersection in Dhaka City

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

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

Device Access Locker: Python tool to block apps and services on selected devices via iptables + ARP spoofing.

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

Dynamic Real-time Traffic Control System

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

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning