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Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems

1
Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy
2
Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Luís Picado Santos
Appl. Sci. 2021, 11(8), 3604; https://doi.org/10.3390/app11083604
Received: 14 March 2021 / Revised: 7 April 2021 / Accepted: 14 April 2021 / Published: 16 April 2021
(This article belongs to the Special Issue Urban Transport Systems Efficiency, Network Planning and Safety)
Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes. There are various aspects that affect urban transport systems: in this work, we highlight how road markings, intersections, and pavement design upgradings have a key role for AVs operation. This work aims to describe how contemporary society will be influenced by Autonomous Vehicles’ spread in regard to urban transport systems. A comprehensive analysis of the expected developments within urban transport systems is hereby presented, and some crucial issues concerning benefits and drawbacks are also discussed. From our studies, it emerges that the detection performed by vehicles is mainly affected by road markings characteristics, especially at intersections. Indeed, the need for a new cross-sections type arise, since vehicles wandering phenomena will be reduced due to AVs position-keeping systems. View Full-Text
Keywords: autonomous vehicles; intelligent transportation system; road safety; urban transport system; artificial intelligence autonomous vehicles; intelligent transportation system; road safety; urban transport system; artificial intelligence
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MDPI and ACS Style

Severino, A.; Curto, S.; Barberi, S.; Arena, F.; Pau, G. Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems. Appl. Sci. 2021, 11, 3604. https://doi.org/10.3390/app11083604

AMA Style

Severino A, Curto S, Barberi S, Arena F, Pau G. Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems. Applied Sciences. 2021; 11(8):3604. https://doi.org/10.3390/app11083604

Chicago/Turabian Style

Severino, Alessandro, Salvatore Curto, Salvatore Barberi, Fabio Arena, and Giovanni Pau. 2021. "Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems" Applied Sciences 11, no. 8: 3604. https://doi.org/10.3390/app11083604

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