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A Web Crowdsourcing Platform for Territorial Control in Smart Cities

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Web Engineering (ICWE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13362))

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Abstract

Nowadays citizens engage with smart city ecosystems in several ways using smartphones, mobile devices, connected cars, and drones. Pairing devices and data with a city’s infrastructure and services can improve sustainability and achieve an improvement in awareness and territorial control. Communities can improve energy distribution and decrease traffic congestion with the help of IoT technologies. To support and streamline such a process, in this paper we introduce a Web crowdsourcing platform as a Common Operational Picture dashboard to interoperate with smart devices, collect urban data from them, and monitor the city in real-time. Its application to the Metropolitan City of Bari is presented and discussed.

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Notes

  1. 1.

    EMQ-X: https://www.emqx.io/.

  2. 2.

    Apache Kafka: https://kafka.apache.org/.

  3. 3.

    MongoDB: https://www.mongodb.com/.

  4. 4.

    Spring: https://spring.io/.

  5. 5.

    Angular: https://angular.io/.

  6. 6.

    Keycloak: https://www.keycloak.org/.

  7. 7.

    MapboxGLJS: https://www.mapbox.com/mapbox-gljs.

  8. 8.

    Deck.GL: https://deck.gl/.

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Acknowledgements

This work was partially funded by the Italian MISE FSC 2014/20 Asse I project ‘CASA delle TECNOLOGIE EMERGENTI’, and by the Italian P.O. Puglia FESR 2014/20 project 6ESURE5 ‘SECURE SAFE APULIA’.

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Authors and Affiliations

  1. Innovation Lab, Exprivia S.p.A., Via A. Olivetti 11, 70056, Molfetta, Italy

    Andrea Pazienza, Domenico Lofù, Giampaolo Flace, Marco Salzedo, Pietro Noviello & Felice Vitulano

  2. Polytechnic University of Bari, Via E. Orabona 4, 70125, Bari, Italy

    Domenico Lofù & Eugenio Di Sciascio

Authors
  1. Andrea Pazienza
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  2. Domenico Lofù
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  3. Giampaolo Flace
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  4. Marco Salzedo
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  5. Pietro Noviello
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  6. Eugenio Di Sciascio
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  7. Felice Vitulano
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Corresponding author

Correspondence to Andrea Pazienza .

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Editors and Affiliations

  1. Polytechnic University of Bari, Bari, Italy

    Tommaso Di Noia

  2. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    In-Young Ko

  3. Johannes Kepler University Linz, Linz, Austria

    Markus Schedl

  4. Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

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Pazienza, A. et al. (2022). A Web Crowdsourcing Platform for Territorial Control in Smart Cities. In: Di Noia, T., Ko, IY., Schedl, M., Ardito, C. (eds) Web Engineering. ICWE 2022. Lecture Notes in Computer Science, vol 13362. Springer, Cham. https://doi.org/10.1007/978-3-031-09917-5_25

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  • DOI: https://doi.org/10.1007/978-3-031-09917-5_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09916-8

  • Online ISBN: 978-3-031-09917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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