Smart Traffic Predictions for Smarter Cities
TraffiCast is a student-developed platform designed to analyze, predict, and visualize traffic conditions using real-time and historical data. The goal is to help drivers, commuters, and planners make informed decisions and reduce time spent in congestion.
Developed by a team of students passionate about technology and smart cities, this project combines machine learning, data visualization, and user interactivity to model real-world traffic dynamics—all within a web-based interface.
App Features
- Real-Time Traffic Visualization – View live traffic conditions using color-coded routes (🟢 🟡 🔴).
- Traffic Prediction Engine – Predict future congestion using machine learning.
- Route Planning and Optimization – Find the fastest and most reliable routes.
- User Location Detection – Use GPS or browser location for convenience.
About Us
Welcome to TraffiCast — an innovative traffic management web application designed to help drivers avoid congestion and find the fastest route possible.
Developed by a dedicated team of students — Camba, Duculan, Mueden, and Rances — as part of our Introduction to Computing midterm project, TraffiCast aims to combine technology and convenience for a smoother travel experience.
Mission
To build a smarter driving community through innovative traffic prediction tools and real-time navigation support.
Vision
To revolutionize urban mobility through smart technology, promoting an efficient and sustainable way to travel.
Contact Us
Email: trafficast.help@gmail.com
Phone: 09xx-xxx-xxxx
Location: Baguio City, Bakakeng