Lessons Learned from Air Traffic Management to Urban Air Mobility
Abstract
Urban Air Mobility (UAM) represents a transformative frontier in intelligent transportation, promising significant benefits for urban transportation efficiency, accessibility, and sustainability. Effective management of urban air traffic is crucial to UAM's success, and established practices from Air Traffic Management (ATM) can provide critical insights. This workshop aims to facilitate a multidisciplinary dialogue between ATM and UAM researchers to share lessons learned, successful practices, and potential adaptations from traditional ATM to the emerging UAM environment. Nevertheless, UAM introduces distinctive challenges, e.g., extreme traffic density, highly automated and heterogeneous vehicle fleets, low‑altitude environmental variability, and stringent community‑acceptance constraints, that require critical understanding of how far ATM principles can be translated. Topics will encompass airspace design, safety risk assessment, traffic management, CNS infrastructure and integration of unmanned aerial systems (UAS), among others. Ultimately, the workshop will provide a structured forum for capturing transferable ATM knowledge, fostering collaboration, and guiding strategic development in UAM frameworks.
Venue
This workshop will take place on Tuesday, 18 November 2025, co-located with the IEEE – Intelligent Transportation Systems Conference (ITSC 2025)
keywords
Urban Air Mobility, Air Traffic Management, Unmanned Aerial Systems, Airspace Design, Flight Operations, Intelligent Transportation System
Invited Speakers

Kaiquan Cai
Professor, Beihang University

Kam Ng
Associate Professor, Hong Kong Polytechnic University

Max Li
Assistant Professor, University of Michigan

Rodolphe Fremond
Researcher, Ecole Nationale de l'Aviation Civile
Agenda
- Opening remarks: 14:00 - 14:10
- Title: Development and Prospects of Future Air Navigation Systems
- Presenter: Kaiquan Cai
- Presentation 1: 14:10 - 14:30
- Title: To be confirmed
- Presenter: Daniel Delahaye
- Presentation 2: 14:30 - 14:50
- Title: An integrated framework for dynamic weather hazard prediction and multi-aircraft trajectory optimisation
- Presenter: Kam Ng
- Presentation 3: 14:50 - 15:10
- Title: Knowledge-Guided Optimization Scheme with LLMs for NOTAM Understanding
- Presenter: Yang Yang
- Refreshment break: 15:10 - 15:40
- Presentation 4: 15:40- 16:00
- Title: Uncertainty-Aware Air Traffic Management for Future Airspace Entrants
- Presenter: Max Li
- Presentation 5: 16:00- 16:20
- Title: Separation Standards and Safety Derived From Crewed Aviation
- Presenter: Ryota Mori
- Presentation 6: 16:20 - 16:40
- Title: AeroCPNet: A Communication-efficient Collaborative Perception Method for Airborne Weather Situational Awareness
- Presenter: Peng Zhao
- Panel discussion: 16:40 - 18:00
- Title: From Centralised ATM to Decentralised UAM: Role of Distributed Reinforcement-Learning Framework for Scalable Traffic Management
- Moderator: Yan Xu
- Presenters:
- Christian Verdonk
- Rodolphe Fremond
- Yutong Chen
- Christopher Conrad
Organizers
- Kaiquan Cai
- Address: Beihang University
- Email: [email protected]
- Max Li
- Address: University of Michigan
- Email: [email protected]
- Kam Ng
- Address: Hong Kong Polytechnic University
- Email: [email protected]
- Daniel Delahaye
- Address: Ecole Nationale de l'Aviation Civile
- Email: [email protected]
- Ryota Mori
- Address: Kobe University
- Email: [email protected]
- Yan Xu
- Address: Beihang University
- Email: [email protected]







