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Live in ProductionLogistics / Fleet Management
๐Ÿš›

IoT Fleet GPS Tracking System โ€” Real-Time Vehicle Monitoring & AI Route Optimization

A 4G GPS tracking platform for a 300-vehicle logistics fleet โ€” 5-second live location, AI route optimization, driver behavior scoring, and automated compliance reports โ€” cutting fuel costs by 18%.

18%
Fuel Saved
300
Vehicles
5 sec
GPS Update

โš The Problem

A logistics company operating 300 vehicles across Pakistan had no real-time visibility into fleet location. Drivers self-reported fuel consumption โ€” actual vs. reported discrepancies reached 20%. Unauthorized route deviations were costing extra fuel and creating liability. Regulatory compliance logs (driver hours, route documentation) were prepared manually, taking 3 days per month per vehicle.

๐Ÿ’กOur Solution

We designed a plug-in OBD-II telematics device (no wiring) using ESP32 with a SIM7600 4G module. The device publishes GPS coordinates every 5 seconds and CAN bus data (actual fuel consumption, RPM, odometer) every 30 seconds to a Node.js MQTT backend. PostgreSQL stores complete trip history. A Python service runs AI route optimization using OpenStreetMap data and historical traffic patterns, reducing per-trip distance by 8% on average. A driver behavior engine scores acceleration, braking, cornering, and speeding events, feeding a weekly driver scorecard. Automated compliance reports are generated and emailed every Monday morning.

๐Ÿ”—System Architecture

OBD-II Device (ESP32+4G) โ†’ MQTT โ†’ Node.js Backend โ†’ PostgreSQL + Redis โ†’ React Dashboard + Flutter Driver App

Tech Stack

Hardware
  • Custom OBD-II telematics device (ESP32 + SIM7600)
  • u-blox GPS M8 module
  • CAN bus reader (fuel, RPM, odometer)
  • Accelerometer for harsh event detection
  • Tamper-detect sensor
Communication
  • 4G LTE (primary)
  • MQTT to cloud
  • SMS fallback for alerts
Cloud
  • Node.js MQTT backend
  • PostgreSQL (trip history)
  • Redis (live positions cache)
  • Python AI routing service
  • AWS SES (report emails)
Frontend
  • React dashboard with Mapbox live map
  • Flutter driver app (route guidance)
  • Automated PDF compliance reports

Key Features

5-second live GPS updates on Mapbox interactive map
Real CAN bus fuel consumption (no driver self-reporting)
AI route optimization reducing per-trip distance by 8%
Driver behavior scoring: acceleration, braking, speeding
Geofencing with instant alert on unauthorized route deviation
Trip replay: full route history with speed and event overlay
Automated regulatory compliance reports (driver hours, routes)
Fleet utilization analytics โ€” idle time, utilization rate per vehicle

Results Delivered

  • 18% reduction in fuel costs via AI routing + behavior scoring
  • 5-second live GPS accuracy across 300 vehicles
  • Unauthorized route deviation incidents down 74%
  • Compliance report generation reduced from 3 days to 0 (automated)
  • Fuel discrepancy detection flagged 12% of driver reports as inaccurate

Technologies

GPS/GNSSReactNode.jsPostgreSQLMapbox4G LTEAI Routing

Who This Is For

Logistics companies, delivery fleets, construction equipment operators, public transport authorities

Need a similar solution?

We've built production IoT systems like this across 15+ countries. Let's talk about yours.

Let's Build Together

Got an IoT challenge?
We've shipped it.

Whether you need a fleet to track, a factory to monitor, or a farm to automate โ€” our team has done it before and we'd love to build it with you. Typical response time: under 24 hours.

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