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

Authors: Fabio Antonialli; Andrea Martinesco; Sylvie Mira-Bonnardel

Addresses: Laboratoire de Tribologie et Dynamique des Systèmes – LTDS, École Centrale Lyon, 36 Avenue Guy de Collongue, 69134, Écully, France ' Laboratoire de Droit des Affaires et Nouvelles Technologies – DANTE, Faculté de Droit et de Science Politique (UVSQ), 3 Rue de la Division Leclerc, 78280, Guyancourt, France; Procuradoria da República no Paraná, Rua Marechal Deodoro, 933, 80060-010, Curitiba, Brazil ' Laboratoire Magellan – Université Jean Moulin Lyon 3, École Centrale Lyon, 36 Avenue Guy de Collongue, 69134, Écully, France

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.

Keywords: artificial intelligence; urban mobility; mobility-as-a-service; MaaS; automotive industry; technological innovation; public policies; citizens' behaviour transformation.

DOI: 10.1504/IJATM.2022.124828

International Journal of Automotive Technology and Management, 2022 Vol.22 No.3, pp.324 - 351

Received: 27 Aug 2021
Accepted: 22 Mar 2022

Published online: 09 Aug 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article