Autonomous Terminal Operating System

Client
Global Port Operator
Industry
Logistics
Services
Engineering
Case Study Cover

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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