Driver Movement Tracking Admin Dashboard

Overview

This project is a Driver Movement Tracking Admin Dashboard designed to help companies or organizations with multiple vehicles manage and monitor their fleet efficiently. The dashboard provides real-time GPS tracking, route history, and insightful details about vehicle statuses. The project includes both a frontend and backend, delivering a robust solution for live vehicle monitoring and route analysis.

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Key Features

1. Real-Time GPS Tracking:

   • Tracks driver movement in real-time using GPS coordinates displayed on a Leaflet map.
   • Shows the vehicle's journey with a polyline path and markers for break points.

2. Route History:

   • Saves completed journeys in a history.json file for future reference.
   • Tracks each journey with a ride number and organizes data day-wise.

3. Dashboard Metrics:

   • Displays summary metrics on the navbar:
     • Total Vehicles
     • Moving Vehicles
     • Free Vehicles
     • Idle Vehicles

4. User-Friendly UI(Not Responsive for Mobile View):

   • Left sidebar with toggle options for Live Tracking and History views.
   • Right panel displaying a Leaflet map for visualizing vehicle movement. Preview

5. Simulated Real-Time GPS Data:

   • Uses OpenStreetMap's OSRM Routing API to generate realistic GPS data, including:
     • Vehicle ID
     • Timestamp
     • Latitude and Longitude
     • Status (e.g., break, ride, idle)

6. Advanced Admin Control:

   • Provides robust tracking and monitoring tools for better control over vehicle movements.
   • Enables route analysis and tracking driver behavior for operational efficiency.

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Tech Stack

Frontend:

• HTML, CSS, JavaScript
• Leaflet.js: For interactive map rendering and tracking.

Backend:

• Flask (Python)
• OpenStreetMap's OSRM API: For generating route and GPS data.
• JSON: For data storage.
• CORS

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Setup Instructions

Clone the Repository:

git clone /~https://github.com/SMPY2002/Driver-Movement-Tracker-on-Map.git
cd Driver-Movement-Tracker-on-Map

Install Backend Dependencies:

1. Set up a Python virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

2. Install required Python packages:

   pip install -r requirements.txt

Run the Backend:

python app.py

Open the Frontend:

• Open index.html in a browser to load the Admin Dashboard UI.

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Project Workflow

1. Simulate Real-Time GPS Data:

   • The backend generates GPS data for vehicles using OSRM API.
   • Data includes vehicle ID, timestamp, latitude, longitude, and status (break, ride, idle).
   • Data is formatted into JSON and sent to the frontend via API calls.

2. Display Data on Leaflet Map:

   • The frontend receives GPS data and updates the map in real-time.
   • Polyline paths show the vehicle routes, with markers for break points.

3. Save Ride History:

   • Completed rides are stored in history.json, organized by ride number and day.
   • Admins can toggle between live tracking and history view from the sidebar.

4. Interactive Metrics:

   • Navbar metrics dynamically update to reflect the number of total, moving, free, and idle vehicles.

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Future Enhancements

• Driver Profiles:
  • Associate drivers with vehicle data for better management.
• Geofencing:
  • Alert admin when vehicles deviate from predefined routes.
• Advanced Analytics:
  • Visualize route performance and identify bottlenecks.
• Mobile App Integration:
  • Extend functionality to a mobile platform for on-the-go access.
• Database Integration:
  • Store ride history in a database for scalability and reliability.

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Acknowledgments

• Inspiration: Designed to improve fleet management and provide real-time insights for logistics and delivery operations.
• Technologies Used: Flask, Leaflet, OpenStreetMap, OSRM API.

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License

This project is licensed under the MIT License. Feel free to use, modify, and distribute this project as per the license terms.

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Contact

For any queries or suggestions, please reach out via:

• Email: smpy1405@gmail.com
• GitHub: SMPY2002