ITSC 2025 Paper Abstract

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Paper WE-EA-T5.4

Kang, Kwangchun (Hanwha Systems), Shin, Suyoung (Hanwha Systems), Yoon, Hyoungkeun (Hanwha Systems), Yun, Taegyeong (Hanwha Systems), Heo, Changhwan (Hanwha Systems)

Operational Validation of a SWIM-Based UAM Traffic Management System: Lessons from Korea’s Grand Challenge

Scheduled for presentation during the Regular Session "S05b-Deployment, Modeling, and Optimization in Intelligent Transportation Systems" (WE-EA-T5), Wednesday, November 19, 2025, 14:30−14:50, Surfers Paradise 2

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Keywords Low Altitude Urban Mobility and Logistics, Advanced Air Traffic Management Systems for Drone Integration, Real-world ITS Pilot Projects and Field Tests

Abstract

Urban Air Mobility (UAM) demands new paradigms in traffic management, emphasizing real-time information exchange and coordination among diverse stakeholders. To address these challenges, we developed and field-validated a SWIM-based UAM Traffic Management (UATM) system as part of Korea’s K-UAM Grand Challenge Phase 1. The system integrates FF-ICE/FIXM-compliant flight plan management, multi-sensor surveillance fusion, and a modular, service-oriented architecture. Field demonstrations verified the feasibility of SWIM-based interoperability across independently operated systems. This paper discusses key lessons learned regarding data model extensions, sensor integration strategies, and operational scalability, providing practical insights for scalable and resilient UAM deployments.

 

 

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