🚗 A repository for documenting and exploring the world of autonomous driving safety, featuring a curated collection of research papers, reports, and resource.

AI-powered Smart Traffic Management System built with Kotlin Multiplatform. Real-time traffic monitoring, adaptive signal control, and emergency vehicle prioritization across Android, iOS, Desktop, and Server platforms.

Smart Traffic Solutions for Traffic Congestion and Emissions Reduction Paper ♻️

INLIGHTS is a multithreaded traffic control system for managing signal flow at intersections using real-time simulations. Built in C on Linux, the project showcases OS-level concepts like system calls, thread generation, synchronization (Producer-Consumer), and pipelining to optimize vehicle movement and reduce congestion.

Context aware based Smart Traffic Management System

Smart Traffic Management System

AI-powered Smart Traffic Management System designed to improve late-night road safety and reduce traffic collisions. Using YOLOv8 object detection

AI-based traffic density detection and emergency vehicle prioritization

AI-based smart traffic management system using object detection to optimize signal timing and prioritize emergency vehicles for safer, smarter cities.

Smart traffic signal system that uses GPS data to detect approaching emergency vehicles and automatically turns signals green for their route, ensuring faster response and improved road safety.

Real-time dynamic traffic signal simulation using YOLO-based vehicle detection, Pygame visualization, and fairness-aware signal timing algorithm.

hardware projects

AI-powered smart traffic management system with adaptive signal control and emergency vehicle priority using YOLO and React.