Eclipse MOSAIC is a Multi-Domain and Multi-Scale Simulation Framework for Automated and Connected Mobility Scenarios.

Berlin Sumo Traffic (BeST) Scenario

Data from 267 bike sharing schemes across Europe - 43 million km & 88000 bikes

mobinha is a self driving system implementation project of INHA university.

Service that matches signal lane geometries to bike routes (IEEE ISC2 2022, ACM SIGSPATIAL 2023)

A comprehensive ride-pooling simulation engine featuring VRP optimization (OR-Tools), dynamic pricing algorithms and ML-based demand prediction.

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. 🚂🤖🇮🇳

Smart mobility web app that recommends safer urban routes using real-time signals, AI safety scoring, and explainable insights.

This repository contains the 3D models developed for better visualization of a smart mobility system Hyperloop, first publicly mentioned the Hyperloop by Elon Musk in 2012.

AI-powered EV charging platform with nearest station finder, CO₂ comparison, smart route planning, and AI-based EV infrastructure location analysis using Map and Weather APIs.

An AI-driven Smart Mobility solution for India, providing EV trip planning, on-route charging stops, and CO2 emission savings calculations.

I'm an urban technologist and planner, trained at the **Massachusetts Institute of Technology (MIT)** with a focus on sustainable mobility and city innovation. My work blends engineering, design, data, and policy to create impactful urban solutions.

Welcome to Lab-42 - Open-Techlab for Makers 🤖🛠️

The Electric Vehicle Charging Station Locator helps EV drivers find the nearest charging stations based on location and battery level. Using the Haversine formula, it recommends the top three nearby stations and displays them on an interactive map. It also alerts users when the battery is low, reducing range anxiety and ensuring safer travel.

SynapticGrid is an AI-driven system designed to make cities more efficient, sustainable, and livable by optimizing smart energy grids, waste management, and traffic flow through IoT sensors, real-time data processing, and reinforcement learning algorithms. The modular platform continuously learns and improves, helping urban environments

Template repository for Smart Mobility Lab research papers and datasets

Smart Mobility Racing 2026

🚄 Simulate and analyze Roboflow AI metrics for enhanced performance testing and optimization in train systems through a comprehensive digital twin environment.