High Performance ServiceMesh Data Plane Based on eBPF and Programmable Kernel

Intelligent Roadway Information System

Develop agent-based traffic management system by model-free reinforcement learning

Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.

GeoIP Target Redirection and Target Filter Redirector using GeoIP API (JS)

Production-ready Multi-Agent System for Smart Traffic Management & Linked Open Data. Integrates Computer Vision (YOLOX/DETR) with Semantic Web standards (NGSI-LD, RDF, SOSA/SSN)

Traffic Management and Emergency Vehicle Detection using Decision Trees and OpenCV

Simulation for efficient traffic management system. Implemented in python language and pygame as GUI. It measures density of vehicles on each signal, dynamically changes signal time of nearby signals to solve traffic problem.

This repository tackles traffic congestion in smart cities using computer vision. The system automatically detects and classifies vehicles, analyzes traffic density, and dynamically adjusts traffic lights - all to optimize traffic flow!

Advanced Vehicle Tracking and Detection System using ByteTrack, Supervision, and YOLO Algorithms

A Driver Assistance System (DAS) to both help truck drivers and traffic managers

(A)rtificially-(I)ntelligent (T)raffic (M)anagent (S)ystem

中文车牌检测与识别系统，YOLOv5定位车牌+PlateNet字符识别，支持蓝牌/绿牌/双层牌照，解决通用OCR对中文车牌识别率低的问题

Application used for simulating road traffic and coordinate traffic lights in real-time.

XPTO-Network: a complete enterprise network plan.

Traffic Management Project - Understanding travel demand and travel patterns within the city.

A python wrapper of car-truck simulation for traffic impact analysis and traffic management

Traffic simulation using multi-agent system

This project deals with the increasing traffic problems in cities. We decided to work on this topic due to the following reasons :- Reducing traffic congestion, reducing long time delay, keeps track of vehicles and many more. Also we have seen that due to traffic emergency vehicles (ambulance,fire brigade) get delayed to reach on time.We will use IR sensors to sense the limit of the maximum vehicles. The sensors will send the signal to the microcontroller. It will compare which road has the highest density of vehicles and will send the signal to open that particular road for crossing. Thus, reducing the traffic. We are also using sound detecting sensors. Whenever it detects sound in form of siren for any emergency vehicle(like ambulance, fire brigade). These sensors will also send signal to microcontroller to make that signal green , so that the emergency vehicle can pass easily and takes less time.There is also a temperature sensor that can sense the temperature and display it on LCD display. These two are also connected with microcontroller .

🚦 Next-generation AI Traffic Management System with real-time computer vision, reinforcement learning optimization, emergency vehicle detection, and immersive 3D visualization

Smart Traffic Control is an open-source project for optimizing urban traffic using real-time data and decentralized decision-making. It adapts traffic lights and enforces speed dynamically, using blockchain-like tech for privacy. Join us in improving road safety and efficiency through smarter, fairer traffic systems!

A demonstration of using APIM for traffic splitting using Bicep IaC

This "Smart City Traffic AI Cloud Platform" project aims to improve traffic management in smart cities by developing a cloud-based system that utilizes artificial intelligence (AI) and big data collected from CCTV cameras, IoT devices, and drone images. This platform will provide functionalities for both city traffic agents and the public clients.

StornX: Latency Optimized Node and Traffic Scheduling in Kubernetes

Manage Microservice Communication with Kubernetes and Istio Service Mesh

Hardware based project for priority based traffic management. Uses arduino and C for arduino.

🚀 Deploy and manage microservices on Kubernetes with Istio, features automated GitHub Actions workflows for CI/CD, advanced traffic routing, secure service communication, and observability tools like Prometheus and Kiali.

🚀 Transform z.ai chat to OpenAI API format with zai-proxy. Enjoy flexible responses and anonymous access using your z.ai token.

WIP: Easy-to-use API Gateway focused on Security, Traffic Management and WAF protection for modern applications.

Next-Generation Intelligent Decision Support System (IDSS) for Indian Railways. A "Co-Pilot" for controllers that uses a Hybrid Intelligence Architecture (Reinforcement Learning + Operations Research) to optimize train scheduling, minimize delays, and ensure safety via Explainable AI. 🚂🤖🇮🇳