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NRFCo-PI2025–2032진행중Ongoing

AI Plus K-Construction Infrastructure Resilience-ERC

AI Plus K-건설 인프라 리질리언스 선도연구센터(ERC)

The AI Construction Resilience Center (AIKC), hosted at Sungkyunkwan University, ties construction infrastructure, nano-composite materials and AI mobility into a single hyper-connected stack, with the aim of an intelligent disaster-safety ecosystem that can respond to disasters no one has planned for.

The centre is organised into three research groups — smart construction (Group 1), nano-composites (Group 2) and advanced mobility (Group 3). TUPA works in Group 3. The groups are deliberately interlocked so that the whole response chain behaves as one system rather than three separate technologies.

Group 3 — advanced mobility

  • Unmanned systems linking compact mobility and drones for accident diagnosis and facility-management decision support
  • Mobility systems for disaster monitoring, including a remote-driving (tele-operation) framework and its operating environment
  • Dynamic crowd simulation for evacuation strategy, built from unstructured data and experiment-based evacuation behaviour models
  • Ground transport operation and management systems for disaster response

Where the groups meet

Three cross-group syntheses define the centre's core competitiveness.

  • Automated maintenance of megastructures — Group 1's deformation prediction and risk analysis combined with Group 2's 3D-printed reinforcement, giving unmanned damage detection, reinforcement optimisation and automated repair
  • Rapid recovery and evacuation — Group 3's accident-site scanning and damage assessment combined with Group 2's 3D printing, automating on-site reinforcement and clearing evacuation routes
  • Optimal evacuation under disaster — Group 1's structural monitoring combined with Group 3's advanced mobility, running structural risk analysis into real-time route optimisation and drone- and vehicle-guided evacuation
Group 3 sensing stack: compact mobility, lidar and camera feed a sensor-processing and data-fusion layer that drives the autonomous driving system, with drones and V2X extending coverage across the incident site
Group 3 sensing stack: compact mobility, lidar and camera feed a sensor-processing and data-fusion layer that drives the autonomous driving system, with drones and V2X extending coverage across the incident site
Remote-driving framework — video uplink from the vehicle, control downlink from the operation centre — with the autonomous shuttle and the tele-operation seat used for the experiments
Remote-driving framework — video uplink from the vehicle, control downlink from the operation centre — with the autonomous shuttle and the tele-operation seat used for the experiments
Disaster-responsive traffic operation by zone: occurrence, affected, caution and safe areas each receive a different management strategy, from casualty transport and shelter guidance to rerouting, contraflow design and signal priority for response vehicles
Disaster-responsive traffic operation by zone: occurrence, affected, caution and safe areas each receive a different management strategy, from casualty transport and shelter guidance to rerouting, contraflow design and signal priority for response vehicles
AI Construction Resilience Center — research overview