Smart Vehicle Tracking and Management System

"The Smart Way to Drive"

Introduction

The Smart Vehicle Tracking and Management System leverages cutting-edge IoT and sensor technologies to enhance vehicle safety and operational efficiency. It integrates real-time tracking, accident detection, and notifications for unauthorized disconnections, ensuring comprehensive vehicle and cargo management. Combining GPS, GSM, accelerometer, and cloud solutions, the system addresses critical challenges in the transportation sector.

Key Features

• Real-Time Vehicle Tracking: Monitor vehicle locations with precision.
• Accident Detection: Instantly alerts administrators in the event of an accident.
• Unauthorized Disconnection Alerts: Notifies on tampering or unauthorized device disconnections.
• Environmental Monitoring: Tracks cargo temperature and humidity.
• Administrative Control: Features an admin panel for efficient vehicle and data management.

Problem Statement

Current vehicle management systems often lack affordable, comprehensive solutions for real-time tracking and operational management. This project bridges that gap, improving safety, efficiency, and decision-making for fleet operations.

Solution Architecture

The system is built around a robust combination of hardware and software:

Hardware Components

• ESP32 Microcontroller

  Handles communication and data processing.

• GPS Sensor

  Enables real-time vehicle location tracking.

• GSM Module

  Enables communication between the vehicle and the server, allowing real-time data transmission and alert notifications via cellular networks.

• Accelerometer Sensor

  Detects sudden acceleration changes, assisting in accident detection.

• Tamper Sensor

  Triggers alerts for unauthorized device disconnections.

• Humidity and Temperature Sensors

  Monitors cargo conditions to ensure optimal environmental settings.

Software Stack

• Backend: Node.js with Express

• Frontend: React.js

• Cloud Services: Firebase

Data generated by sensors is securely transmitted to the AWS cloud, processed in real-time, and displayed on an intuitive admin dashboard.

Technologies Used

• Communication Protocols: Wi-Fi, GSM
• Cloud Solutions: AWS IoT Core, S3, and EC2
• Visualization: Real-time dashboards with alerts and key metrics

Project Goals

• Enhance driver and vehicle safety
• Improve cargo management and operational oversight
• Provide actionable insights through data-driven analysis

System Workflow

1. Data Collection: Sensors gather real-time data such as location, speed, and environmental conditions.
2. Data Transmission: Data is securely sent to the AWS cloud.
3. Processing & Storage: Real-time and historical data processing is handled in the cloud.
4. Visualization & Alerts: Admin dashboards display actionable insights and send alerts for anomalies.

Bill of Materials (BoM)

Item	Quantity	Cost per Unit	Total Cost
ESP32 Microcontroller	1	Rs.1490	Rs.1490
GSM MODULE	1	Rs.1490	Rs.1490
GPS Sensor	1	Rs.1000	Rs.1000
Accelerometer Sensor	1	Rs.925	Rs.925
Temperature & Humidity Sensor	1	Rs.350	Rs.350
Battery(3.7V Li-ion) with casing	1	Rs.785	Rs.785
Display	1	Rs.600	Rs.600
Miscellaneous Items (Wires, PCB, etc.)	N/A	Rs.3000	Rs.3000

• Hardware Subtotal per unit: Rs.9640

Security & Privacy

• Data Security: End-to-end encryption for data transmission and storage.
• Access Control: AWS IAM ensures role-based access.
• Secure APIs: Prevent unauthorized data breaches.

Contributors

• Team Members:

  • Niroshan B.G.L (E/20/272) - e20272@end.pdn.ac.lk
  • Wijesooriya M.L (E/20/447) - e20447@end.pdn.ac.lk
  • Dulaj U.P.S.D (E/20/456) - e20456@end.pdn.ac.lk

• Supervisor:

  • Dr. Isuru Nawinne

Useful Links

• GitHub Repository: Smart Vehicle Tracking and Management System
• GitHub Pages: Smart Vehicle Tracking and Management System Website