Autonomous Terminal Operating System
The port was hitting capacity limits. Manual driving was slow and prone to accidents. Expanding physical space was impossible.
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
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.
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.
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
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.
C++RustPrivate 5GROS2PostgreSQLReact
