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A Choreography-Based and Collaborative Road Mobility System for L’Aquila City

Author

Listed:
  • Marco Autili

    (Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy)

  • Amleto Di Salle

    (Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy)

  • Francesco Gallo

    (Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy)

  • Claudio Pompilio

    (Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy)

  • Massimo Tivoli

    (Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy)

Abstract

Next Generation Internet (NGI) is the European initiative launched to identify the future internet technologies, designed to serve the needs of the digitalized society while ensuring privacy, trust, decentralization, openness, inclusion, and business cooperation. NGI provides efficient support to promote diversity, decentralization and the growth of disruptive innovation envisioned by smart cities. After the earthquake of 6 April 2009, the city of L’Aquila is facing a massive and innovative reconstruction process. As a consequence, nowadays, the L’Aquila city can be considered as a living laboratory model for applications within the context of smart cities. This paper describes and evaluates the realization of a Collaborative Road Mobility System (CRMS) for L’Aquila city by using our CHOReVOLUTION approach for the automated choreography production. The CRMS allows vehicles and transport infrastructure to interconnect, share information and use it to coordinate their actions.

Suggested Citation

  • Marco Autili & Amleto Di Salle & Francesco Gallo & Claudio Pompilio & Massimo Tivoli, 2019. "A Choreography-Based and Collaborative Road Mobility System for L’Aquila City," Future Internet, MDPI, vol. 11(6), pages 1-20, June.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:6:p:132-:d:239947
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    Cited by:

    1. Soukaina Bouarourou & Abderrahim Zannou & El Habib Nfaoui & Abdelhak Boulaalam, 2023. "An Efficient Model-Based Clustering via Joint Multiple Sink Placement for WSNs," Future Internet, MDPI, vol. 15(2), pages 1-27, February.

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