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Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data

Cuauhtemoc Anda, Sergio A. Ordonez Medina, Kay W. Axhausen
2021 Transportation Research Part C: Emerging Technologies  
To address this issue, we propose a framework designed only with user-aggregated mobile phone data to synthesise realistic daily individual mobility -Digital Twin Travellers.  ...  A B S T R A C T Mobile phone data generated in mobile communication networks has the potential to improve current travel demand models and in general, how we plan for better urban transportation systems  ...  The authors would like to thank DataSpark for providing the anonymised and aggregated mobile phone data in this study.  ... 
doi:10.1016/j.trc.2021.103118 fatcat:qnkuwmasife7rjfxsqjnijkpya

ISCC 2020 Keyword Index

2020 2020 IEEE Symposium on Computers and Communications (ISCC)  
Detection DHT diabetes diagnosis diagnostics DICOM Dicoogle Digital communications Digital Transformation Digital Twin Distance-2 graph coloring Distributed Ledger Technologies Distributed  ...  social media sensing Social Network Analysis social networks Software Defined Networking Software-Defined Networking Space Division Multiplexing spatial image correlation Spatial Modulation spatio-temporal  ... 
doi:10.1109/iscc50000.2020.9219679 fatcat:al6gjafwwneo5g5paprquzp7n4

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Li, Ruonan Group Motion Segmentation Using a Spatio-Temporal Driving Force Model Li, Shuo Finding Image Distributions on Active Curves Graph Cut Segmentation with a Global Constraint: Recovering  ...  Discovering Spatio-Temporal Dependencies in Dynamic Scenes Ferrie, Frank P.  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54


S. Q. Dou, H. H. Zhang, Y. Q. Zhao, A. M. Wang, Y. T. Xiong, J. M. Zuo
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This provides a feasible solution for the construction of spatio-temporal Data Visualization Platform.  ...  The visualization model of GIS and BIM fusion can provide data bearing platform and main technical support for future urban operation centers, digital twin cities, and smart cities.  ...  As the carrier of city operation center and "digital twin city", the platform also provides an approach for urban The International Archives of the Photogrammetry, Remote Sensing and Spatial Information  ... 
doi:10.5194/isprs-archives-xlii-3-w10-555-2020 fatcat:awt4g4lforgr3jgty3ccusz75y

Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey

Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2022 IEEE Access  
of creating a Digital Twin (DT) that perfectly matches the reality.  ...  INDEX TERMS Complex network systems, digital twins, dynamic processes, network dynamics.  ...  ; and (4) How do we approach the ultimate goal of building a CNS that models the reality at a Digital Twin level?  ... 
doi:10.1109/access.2022.3184801 fatcat:q7glnphnobbkxforsqbafpgbri

Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec [article]

Mahmoud Abdelrahman, Adrian Chong, Clayton Miller
2021 arXiv   pre-print
New model features can improve the ability of a machine learning model to classify a person's thermal preference.  ...  The aggregation of these data is combined into a graph network structure (i.e., objects and relations) and used as input for a classification model to predict occupant thermal preference.  ...  new digital twin context.  ... 
arXiv:2111.00199v1 fatcat:3nxr5vfpo5dwjhzzpk6fz2kbly

Spatial Big Data [chapter]

Michael Evans, Dev Oliver, Xun Zhou, Shashi Shekhar
2014 Big Data  
Examples of emerging SBD include temporally detailed roadmaps that provide traffic speed values every minute for every road in a city, GPS trajectory data from cell-phones, and engine measurements of fuel  ...  Increasingly, the size, variety, and update rate of spatial datasets exceed the capacity of commonly used spatial computing and spatial database technologies to learn, manage, and process data with reasonable  ...  We formalize the problem of spatio-temporal outlier detection and propose an efficient graph-based outlier detection algorithm.  ... 
doi:10.1201/b16524-9 fatcat:t3pam3wjvraz7pun5cnjkilg54

Implicit, Formal and Powerful Semantics in Geoinformation

Gloria Bordogna, Cristiano Fugazza, Paolo Acquaviva d'Aragona, Paola Carrara
2021 ISPRS International Journal of Geo-Information  
This paper proposes a workflow to identify patterns in the different practices and methods dealing with geoinformation.  ...  From a meta-review of the state of the art in geosemantics, this paper first pinpoints "keywords" representing key concepts, challenges, methods, and technologies.  ...  The ultimate purpose is to support diverse applications, such as geographic information retrieval (GIR), digital library services, and systems using spatio-temporal knowledge.  ... 
doi:10.3390/ijgi10050330 fatcat:tscz7fb6evbhdo7fw4lyf3i4yq

IEEE Access Special Section Editorial: Artificial Intelligence and Cognitive Computing for Communication and Network

Yin Zhang, Giancarlo Fortino, Limei Peng, Iztok Humar, Jianshan Sun
2020 IEEE Access  
Under the new service paradigm, artificial intelligence (AI) and cognitive computing are very promising approaches for dealing with dynamic and large-scale topology; thus, we should explore AI-based techniques  ...  Furthermore, communications and network ecosystems must be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human intelligence.  ...  punching machine tools via establishing the digital twin-driven cyber-physical system.  ... 
doi:10.1109/access.2020.3014475 fatcat:z3xpk3x7ofhjbf7vmj2glozx6y

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 5374-5385 Graph-Based Spatio-Temporal Feature Learning for Neuromorphic Vision Sensing.  ...  Li, R., +, TIP 2020 7997-8011 Graph-Based Spatio-Temporal Feature Learning for Neuromorphic Vision Sensing.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

An Agent-Based Digital Twin for Exploring Localized Non-pharmaceutical Interventions to Control COVID-19 Pandemic

Souvik Barat, Ritu Parchure, Shrinivas Darak, Vinay Kulkarni, Aditya Paranjape, Monika Gajrani, Abhishek Yadav, Vinay Kulkarni
2021 Transactions of Indian National Academy of Engineering  
To help tailor the intervention, we develop a configurable, fine-grained agent-based simulation model that serves as a virtual representation, i.e., a digital twin of a diverse and heterogeneous area such  ...  of candidate interventions, and (2) a simulation-driven approach to determine the exact intervention that needs to be applied under a given set of circumstances.  ...  Moreover, these elements exhibit probabilistic spatio-temporal characteristics.  ... 
doi:10.1007/s41403-020-00197-5 pmid:35837574 pmcid:PMC7845792 fatcat:rjeip4445jdsnposlfztmx4hui

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac
2021 IEEE Access  
Self-supervised graph learning approaches techniques.  ...  , and Spatio-Temporal Graph Neural tions of Generative Adversarial Networks, or Deep Gaussian Networks.  ... 
doi:10.1109/access.2021.3134076 fatcat:lm2upcaoabbnbie6r4sfzhjh4y

B5GEMINI: AI-Driven Network Digital Twin

Alberto Mozo, Amit Karamchandani, Sandra Gómez-Canaval, Mario Sanz, Jose Ignacio Moreno, Antonio Pastor
2022 Sensors  
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network.  ...  Map concept as a novelty.  ...  Acknowledgments: We are grateful to Diego López (Telefónica I+D), who provided insight and expertise in fruitful discussions about the Network Digital Twin and Digital Map topics and revised the manuscript  ... 
doi:10.3390/s22114106 pmid:35684725 pmcid:PMC9185242 fatcat:fsxw2gmeszehropxbzbg6fatxu

Table of contents

2020 IEEE Transactions on Image Processing  
Velipasalar 4349 A Spatio-Temporal Multi-Scale Binary Descriptor .............................. A. Xompero, O. Lanz, and A.  ...  Han 3321 A Two-Stage Approach to Few-Shot Learning for Image Recognition .................. D. Das and C. S.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

eStorys: A visual storyboard system supporting back-channel communication for emergencies

A. Malizia, A. Bellucci, P. Diaz, I. Aedo, S. Levialdi
2011 Journal of Visual Languages and Computing  
In this paper we introduce a visual system, providing a combination of tools that demonstrated to be effective in such emergency situations, such as spatio/temporal search features, recommendation and  ...  In this paper we present a new web mashup system for helping people and profes sionals to retrieve information about emergencies and disasters.  ...  Levialdi's contribution to this work has been supported by a Chair of Excellence funded by Universidad Carlos III de Madrid and Banco Santander. A.1.3.  ... 
doi:10.1016/j.jvlc.2010.12.003 fatcat:jldqukpncvbb5hb6gnuttddi7a
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