🚌 Bus Stop Predictor

A web application for predicting bus stops from GPX track data.

🚀 Features

• Web-based GPX file upload
• Automatic bus stop prediction using clustering algorithms
• Interactive map visualization of predicted bus stops
• Statistical analysis with confidence scores
• Links to OpenStreetMap for each predicted stop

🛠 Installation

1. Clone this repository
2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Run the application:

   python app.py
   

4. Open your browser and navigate to http://localhost:5000

⚙️ How It Works

1. Data Collection: Upload GPX files containing vehicle movement data
2. Preprocessing: Extract coordinates, speed, and timestamps from GPX files
3. Stop Detection: Identify points where speed is zero (vehicle stopped)
4. Clustering: Group nearby stop points using DBSCAN algorithm
5. Analysis: Calculate confidence scores based on recurring patterns
6. Visualization: Display results on interactive maps and charts

🧰 Technologies Used

• Backend: Python, Flask
• Data Processing: Pandas, Scikit-learn, NumPy
• Frontend: Leaflet.js, Chart.js, Bootstrap 5, HTML5, CSS3, JavaScript

🔗 Links

• Source Code Website: https://github.com/MatthewsM2/Predict-Bus-Stop
• Live:https://github.com/MatthewsM2/Predict-Bus-Stop
• License: GPL-3.0 license – see LICENSE for details

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