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

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

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. 🚂🤖🇮🇳

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

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.

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

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

ITE@UIUC Data Science Team EOH 2024 Data Visualization

Smart Moby est une application web développée avec Symfony et MySQL dans le cadre du module PIDEV 3A à Esprit School of Engineering, visant à optimiser le transport urbain grâce à des fonctionnalités intelligentes.

Study of correlations in the dimensions of smart mobility and smart environment.

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.

DeepTrafficQ is a reinforcement learning-based traffic signal control system that uses Deep Q-Networks (DQN) to minimize vehicle waiting times at a 4-way intersection. By leveraging Q-learning with experience replay and a convolutional neural network (CNN), the agent dynamically adjusts traffic light phases to optimize traffic flow.

AV's Shortest Path Finder / Penn State University

Vehicle Trajectories Viewer / Penn State University

MySql database for smart mobility.

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