TY - GEN
T1 - Exploring Digital Twins for Urban Mobility
T2 - Applications and the Case Study of Helsinki
AU - Torrao, Guilhermina
AU - Virtanen, Juho-Pekka
AU - Volanen, Emmi
N1 - Copyright © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PY - 2025/9/1
Y1 - 2025/9/1
N2 - Digital twin technology is increasingly explored as a dynamic, data-driven tool for simulation, monitoring, and optimizing urban transport systems. This paper reviews the current landscape of digital twin applications in urban context, with a focus on their capabilities for predictive analytics, scenario evaluation ass a support for decision making for urban mobility interventions. Based on a review of the latest literature, it examines the conceptual frameworks and applied digital twins' models across different cities. Additionally, this study presents a real-world case study from Helsinki, offering insights into the development and integration of digital twins within a complex urban mobility system. The study contributes to the state of the art by identifying key implementation challenges and proposing future research directions to advance the practical application of digital twin technologies in urban mobility.
AB - Digital twin technology is increasingly explored as a dynamic, data-driven tool for simulation, monitoring, and optimizing urban transport systems. This paper reviews the current landscape of digital twin applications in urban context, with a focus on their capabilities for predictive analytics, scenario evaluation ass a support for decision making for urban mobility interventions. Based on a review of the latest literature, it examines the conceptual frameworks and applied digital twins' models across different cities. Additionally, this study presents a real-world case study from Helsinki, offering insights into the development and integration of digital twins within a complex urban mobility system. The study contributes to the state of the art by identifying key implementation challenges and proposing future research directions to advance the practical application of digital twin technologies in urban mobility.
KW - Digital twin
KW - Urban mobility
KW - Helsinki
UR - https://ieeexplore.ieee.org/document/11142394
UR - http://www.scopus.com/inward/record.url?scp=105017113600&partnerID=8YFLogxK
U2 - 10.1109/IWIS66215.2025.11142394
DO - 10.1109/IWIS66215.2025.11142394
M3 - Conference publication
T3 - IEEE Intelligent Systems
BT - 2025 International Workshop on Intelligent Systems (IWIS)
PB - IEEE
ER -