
Smart Infra
MLFF · Digital Twin · Smart Hospital
Digital Twin
Next-generation AI-based Transportation Infrastructure Digital Twin Platform
Next-Generation AI-Powered Transportation Digital Twins
CPLABS' AI Digital Twin platform unifies spatial data (GIS/BIM) with field sensors (LiDAR, cameras, IoT) to build a virtual replica synchronized with live transport infrastructure in real time. By analyzing and simulating real-world conditions within this single, interoperable platform, we move infrastructure operations from reactive response to prediction and pre-emptive action—cutting emergency response times by up to 40%, lowering maintenance costs through predictive anomaly detection, and supporting the transition to low-carbon mobility.

Key Application Domains

Smart Highways
We capture vehicle flow, road surface conditions, and toll settlement on the highway in a real-time digital twin for at-a-glance monitoring. Moving beyond manual patrols and after-the-fact response, congestion and accidents are predicted before they occur and road damage is detected automatically—so operators can act first.

Railway & Transit Hubs
We bring crowded stations and transfer spaces into a digital twin to monitor congestion, safety incidents, and equipment faults in real time. AI analyzes data streaming from CCTV and sensors to catch warning signs early, while seamlessly linking bus, subway, and taxi transfers—lifting both the passenger experience and operational efficiency.

Intelligent Parking & Mobility
Using 3D AI video recognition, we observe parking facilities and on-street spaces across the city, identifying and tracking every single vehicle. From fee settlement for entering and exiting vehicles to catching plate-forged offenders and enforcing illegal parking, everything is handled automatically without human intervention—making urban parking operations far more efficient.

Mega-Event & Racing Circuit Operations
We precisely replicate racing circuits and large-scale venues—where a single accident can be catastrophic—in a digital twin, watching over everything from the track surface to safety facilities and crowd movement in real time. Even the smallest crack, surface contaminant, or facility anomaly is caught instantly, and the movement of tens of thousands of people along with weather shifts is simulated in advance to support safe, flawless event operations.