About UrbanFlow

Traffic Prediction & Simulation System

UrbanFlow is a comprehensive traffic management system designed specifically for Calamba City. Using advanced machine learning algorithms and real-time data integration, we help citizens and urban planners make informed decisions about traffic flow and congestion management.

Our system combines historical traffic data, event-based disruptions, and predictive modeling to forecast congestion hotspots before they occur, enabling proactive traffic management strategies.

Key Features

  • Real-time traffic monitoring and visualization
  • Machine learning-powered congestion predictions
  • Disruption impact simulation for urban planners
  • Historical traffic data analysis and reporting
  • Interactive maps with congestion mapping

Technology Stack

Next.js

Next.js

React

React

Tailwind CSS

Tailwind CSS

Leaflet.js

Leaflet.js

OpenStreetMap

OpenStreetMap

Python

Python

Flask

Flask

Pandas

Pandas

NumPy

NumPy

PostgreSQL

PostgreSQL

Next.js

Next.js

React

React

Tailwind CSS

Tailwind CSS

Leaflet.js

Leaflet.js

OpenStreetMap

OpenStreetMap

Python

Python

Flask

Flask

Pandas

Pandas

NumPy

NumPy

PostgreSQL

PostgreSQL

Our Mission

Our mission is to empower cities with data-driven tools delivering accessible traffic information that enables smoother coordination, informed decision-making, and better travels for everyone.