We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

OpenCV Video analysis for smart traffic signals

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.

A program that can predict the weather by diagnosing images taken by it using artificial intelligence and give prior warning to the driver about the weather conditions on the road ahead. ​

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.

Traffix focuses on developing smart traffic lights. Smart traffic lights are ones that adapt their timings and schedules based on the incoming traffic flow from the different lines of an intersection.

# 🚦 Traffic Sign VisionThis project uses deep learning to recognize traffic signs with Keras and TensorFlow. It includes a structured dataset and demonstrates how to preprocess images, train a CNN, and evaluate performance. 🐱💻