data spaces; local digital twins (LDTs); mobility observatories; open data; real-time data; Advanced mobilities; Case-studies; Data proliferation; Data space; Dynamic mobility; Local digital twin; Luxembourg; Mobility observatory; Real-time data; Urban mobility; Artificial Intelligence; Modeling and Simulation; Transportation; Control and Optimization; Computer Science Applications; Information Systems and Management
Abstract :
[en] We address the significant opportunities and inherent challenges in developing advanced mobility observatories, critical tools for managing the profound transformation of urban mobility underway, driven by data proliferation, advances in AI and digital twin technologies. To inform this discussion, we first critically review the landscape of data collection methods - from traditional sources such as travel surveys and traffic counters to emerging streams such as mobile phone and social media data - and highlight the benefits and limitations of each approach. Existing mobility dashboards and observatories are examined to understand their current utility and limitations. Building on this analysis, we present a dynamic observatory architecture proposed for Luxembourg that uses automated Extract, Load, Transform (ELT) pipelines and integrates various open data sources. This experience highlights significant data quality challenges and necessitates mitigation strategies, which are discussed. Crucially, our proposed architecture and the Luxembourg case study highlight the essential role and need for the development of interoperable Local Digital Twins (LDTs). We conclude by advocating that to realise the full potential of next-generation mobility observatories, integrated data spaces and sophisticated AI-driven tools must be adopted for future urban mobility management.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Ferrero, Francesco; Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
CASTIGNANI, German ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > PI Engel ; Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
CONNORS, Richard ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Francesco VITI ; Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
VITI, Francesco ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
no
Language :
English
Title :
Enabling Dynamic Mobility Observatories Through Open Data, AI, and Digital Twin Technologies: A Case Study of Luxembourg
Publication date :
2025
Event name :
2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Event place :
Luxembourg, Lux
Event date :
08-09-2025 => 10-09-2025
Audience :
International
Main work title :
2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2025
Publisher :
Institute of Electrical and Electronics Engineers Inc.
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