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Artificial intelligence as a determinant for reshaping the automotive industry and urban mobility services

Author

Listed:
  • Fabio Antonialli

    (LTDS - Laboratoire de Tribologie et Dynamique des Systèmes - ECL - École Centrale de Lyon - Université de Lyon - ENTPE - École Nationale des Travaux Publics de l'État - ENISE - Ecole Nationale d'Ingénieurs de Saint Etienne - CNRS - Centre National de la Recherche Scientifique)

  • Andrea Martinesco

    (DANTE - Laboratoire de Droit des Affaires et Nouvelles Technologies - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines)

  • Sylvie Mira-Bonnardel

    (Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

Abstract

With the growing interest in smart cities and autonomous mobility, policymakers, citizens, and the automotive industry face a looming shift towards intelligent mobility solutions. By filling a gap of transversal analysis among artificial intelligence (AI), the automotive industry, and urban mobility; the present study discusses how AI has been transforming both the automotive industry and urban mobility globally. By applying a qualitative and descriptive approach, data were collected from primary and secondary sources and analysed from the standpoint of technology, regulations (public policies), and citizens (users). The results show how AI is bringing the traditional automotive industry and the urban mobility sector closer through mobility-as-a-service schemes and illustrate with the city of Curitiba (Brazil) how such AI-enabled technological advances linked with public policies can help design sustainable urban mobility in developing countries.

Suggested Citation

  • Fabio Antonialli & Andrea Martinesco & Sylvie Mira-Bonnardel, 2022. "Artificial intelligence as a determinant for reshaping the automotive industry and urban mobility services," Post-Print hal-04288753, HAL.
    • Handle: RePEc:hal:journl:hal-04288753
    DOI: 10.1504/IJATM.2022.10048005
    as

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