Mining logistics is a high-stakes operation — every minute of idle time, every unexpected bottleneck, and every fuel-inefficient route can erode profitability. Trans Infra Nusantara (TIN.AI) is transforming this challenge into an opportunity, using AI-powered traffic control and Big Data analytics to optimise fleet movement from pit to port. The Mining Traffic Challenge In large-scale mining operations, fleets often run across…

Mining Logistics 2.0: AI & Big Data in Truck Traffic Control

Mining logistics is a high-stakes operation — every minute of idle time, every unexpected bottleneck, and every fuel-inefficient route can erode profitability. Trans Infra Nusantara (TIN.AI) is transforming this challenge into an opportunity, using AI-powered traffic control and Big Data analytics to optimise fleet movement from pit to port.


The Mining Traffic Challenge

In large-scale mining operations, fleets often run across hundreds of kilometres of hauling roads, interlinking loading points, stockpiles, and ports. Without precise coordination:

  • Trucks queue unnecessarily, wasting fuel and man-hours.
  • Uneven traffic flow causes bottlenecks at weighbridges, crushers, or port gates.
  • Poor route and schedule planning lead to underutilised assets and increased operating costs.

TIN.AI’s Traffic Control Solution

Our AI-driven Traffic Control System integrates GPS tracking, IoT sensors, and real-time data streams to orchestrate every truck movement with precision:

  • Dynamic Dispatching: AI algorithms automatically assign trucks to the right routes based on live conditions.
  • Bottleneck Prevention: Predictive modelling forecasts congestion and re-routes vehicles before delays occur.
  • Load Balancing: Balances traffic between multiple haul roads, crushers, or ports for optimal throughput.
  • Safety Integration: AI enforces speed limits, fatigue management, and hazard alerts for operators.

The Power of Big Data

TIN.AI continuously analyses millions of operational data points: truck telemetry, road conditions, weather, shift patterns, and fuel usage. This data is transformed into actionable insights:

  • Identify trends in asset underperformance.
  • Predict maintenance needs before breakdowns occur.
  • Optimise fuel consumption by adjusting routes, speeds, and idle times.

Proven Impact for Mining Clients

Implementing TIN.AI’s traffic control systems has shown measurable results:

  • Up to 20% increase in haulage throughput without expanding fleet size.
  • Fuel savings of 10–15% through reduced idle time and optimised speeds.
  • Lower human costs by automating dispatch and route management.
  • Improved safety records through proactive hazard detection and operator monitoring.

Future-Ready with Electric & Hybrid Fleets

TIN.AI’s platform is built to integrate with electric and hybrid truck fleets, enabling smart charging schedules and renewable energy-powered haulage. This not only reduces carbon footprint but also future-proofs mining logistics against rising fuel prices and environmental regulations.


Why Choose TIN.AI?

By merging AI intelligence with Big Data depth, TIN.AI offers mining operators:

  • Real-time fleet visibility.
  • Predictive traffic flow modelling.
  • Reduced operating costs and emissions.
  • Scalable infrastructure for growth and sustainability.

From pit to port, TIN.AI keeps your mining trucks moving — faster, safer, and smarter.

To learn more or request a demo, contact our specialist today.