This project is a web application designed to predict traffic flow using machine learning techniques. The web app allows users to input traffic data and receive predictions regarding future traffic conditions, making it useful for city planners, transportation authorities, and commuters looking for real-time predictions.
Update: We just got 9.5/10 on our Final Project with this.
The Traffic Flow Prediction Webapp uses machine learning models to forecast traffic patterns based on historical data. It provides a user-friendly interface to interact with, where users can upload traffic data (e.g., traffic counts, vehicle speeds) and view predictions for future traffic conditions.
This application is powered by Python, Flask for the web framework, and integrates various data science libraries such as scikit-learn for machine learning.
- Predict future traffic flow based on historical traffic data.
- User-friendly interface to input traffic data.
- Real-time traffic flow prediction display base of street camera's image.
- Visualization of predicted traffic patterns.
- Python (>= 3.7)
Clone the repository:
git clone https://github.com/Winter24/Traffic_Flow_Predict_Webapp.git
cd Traffic_Flow_Predict_Webapp
Start the Flask app:
python app.py
Open your web browser and go to:
http://127.0.0.1:5000/