Autonomous Terminal Operating System

Client
Global Port Operator
Industry
Logistics
Services
Engineering
Autonomous Terminal Operating System — Case study cover image

The Challenge

The port was hitting capacity limits. Manual driving was slow and prone to accidents. Expanding physical space was impossible.

Client Overview

A major transshipment hub aimed to fully automate its container yard to compete with global mega-ports.

24/7 operations
Mixed traffic safety
Massive scale
Legacy TOS integration

Solution Components

Fleet Director

Algorithm optimizing pathing and job assignment for AGVs to prevent gridlock.

Digital Twin

3D real-time view of every container and machine for remote operators.

Safety Logic

SIL-3 certified collision avoidance systems.

Challenges & Risks

1

Latency

Control messages had to reach machines in <10ms over private 5G.

2

Optimization

NP-hard routing problem requires heuristics for real-time solving.

Key Impact

35%
increase in TEU (container) throughput per hour
60%
reduction in energy consumption via optimized routing
Zero
accidents in the automated zone
20%
reduction in truck turnaround time

The Solution

We built the control brain for a fully automated terminal. It coordinates cranes and automated guided vehicles (AGVs) like a synchronized dance, using a private 5G network and a specialized optimization engine.

Tech Stack

C++RustPrivate 5GROS2PostgreSQLReact
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