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Prediction of Mobility Patterns in Smart Cities: A Systematic Review of the Literature

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Abstract

This study aimed to identify the current approaches to determine mobility patterns using smart cities’ infrastructures, which might be useful to disseminate good practices. Therefore, a systematic review was performed based on a search of the literature. From an initial search of 8207 articles, 25 articles were retrieved for the systematic review. These articles reported different approaches to predict mobility patterns using smart city data sources, namely data from mobile carrier networks, from social networks or from transit agencies’ smart cards.

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Acknowledgements

This work was financially supported by National Funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the project UI IEETA: UID/CEC/00127/2019.

Author information

Authors and Affiliations

  1. Medical Sciences Department & Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal

    Nelson Pacheco Rocha

  2. Department of Economics, Industrial Engineering, Management and Tourism & GOVCOPP - Governance, Competitiveness and Public Policies, University of Aveiro, Aveiro, Portugal

    Ana Dias

  3. Department of Social, Political and Territorial Sciences & GOVCOPP - Governance, Competitiveness and Public Policies, University of Aveiro, Aveiro, Portugal

    Gonçalo Santinha & Carlos Rodrigues

  4. Águeda School of Technology and Management & Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal

    Mário Rodrigues

  5. Health Sciences School & Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal

    Alexandra Queirós

Authors
  1. Nelson Pacheco Rocha
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  2. Ana Dias
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  3. Gonçalo Santinha
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  4. Mário Rodrigues
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  5. Alexandra Queirós
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  6. Carlos Rodrigues
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Corresponding author

Correspondence to Nelson Pacheco Rocha .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Rocha, N.P., Dias, A., Santinha, G., Rodrigues, M., Queirós, A., Rodrigues, C. (2020). Prediction of Mobility Patterns in Smart Cities: A Systematic Review of the Literature. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_65

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