🚛IoT

IoT Fleet Management

Real-time vehicle tracking

500+
Vehicles Tracked
40%
Breakdown Reduction
$200K
Annual Savings
5 seconds
Update Frequency

Project Overview

The IoT Fleet Management system is a comprehensive solution for real-time vehicle tracking, predictive maintenance, and fleet optimization. Built for a logistics company managing 500+ vehicles, the system provides real-time insights into vehicle performance, driver behavior, and operational efficiency. The platform integrates IoT sensors, GPS tracking, and machine learning to predict maintenance needs, optimize routes, and improve fuel efficiency. The system handles massive amounts of real-time data from vehicles while providing actionable insights for fleet managers.

Key Features

Real-time GPS tracking with 5-second update intervals
Predictive maintenance reducing breakdowns by 40%
Fuel consumption optimization saving $200K annually
Driver behavior analytics and safety scoring
Integration with 15+ third-party logistics platforms
Real-time alerts for maintenance and safety issues
Advanced route optimization algorithms
Comprehensive fleet analytics and reporting

Challenges

Processing real-time data from 500+ vehicles simultaneously
Implementing predictive maintenance algorithms
Integrating with multiple third-party logistics platforms
Ensuring reliable IoT connectivity across different regions

Solutions

Used MQTT protocol for efficient IoT communication
Implemented time-series database (InfluxDB) for sensor data
Built custom ML models for predictive maintenance
Created flexible integration layer for third-party platforms

Project Information

2024 - 2025
Team of 8
Full Stack

Technologies

React NativePythonMQTTInfluxDBGrafanaAWS IoT CoreDockerJenkins
John Francis dela Vega - Senior Software Engineer