Centralization and Classification of New York City Traffic

Web portal for analyzing and visualizing traffic centrality in NYC, developed during Object/IoT Technologies workshop.

2024

Web Portal

Project Overview

Developed as part of the Object/IoT Technologies workshop, web portal crafted to analyze and visualize traffic centrality within the bustling urban landscape of New York City.

Project Details

Technologies

React.js, Leaflet, React-Leaflet, Bootstrap, JSON, Python, AGNES, Docker

Timeline

Feb 2024 - Mar 2024

Team

Ismail ZAHIR Software Engineering Student at FST Mohammedia - UH2C
Khaoula ABASSI Software Engineering Student at FST Mohammedia - UH2C
Mohamed JEBBANEMA Software Engineering Student at FST Mohammedia - UH2C
El Mehdi Salah BEN SOUDA Software Engineering Student at FST Mohammedia - UH2C

Features

- Dynamic map visualization with zoom and pan functionalities.
- Filterable data based on year, month, day, and time slots.
- Color-coded clusters to represent different traffic flows.
- Detailed information on traffic flow accessible via map markers.
- Responsive design for optimal viewing on desktop and mobile devices.
- Multi-language support for a global audience.