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The Influence of Artificial Intelligence on Autonomous Vehicle Design and Users’ Lifestyle within Responsive Urban Environments

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Cities today can be regarded as living bodies, in which physical and digital realities overlap each other, changing the way users experience both private and shared spaces in their everyday life. The widespread application of web-based technologies enables the creation of affordable platforms and multi-modal transport apps. This enables the creation of on-demand services which empower travellers by giving them access to a range of efficient vehicles and flexible solutions for multi-modal mobility.

As a natural evolution of this data-fuelled interactive reality, vehicles are gradually evolving into connected ‘mobile spaces’ in which the software and the Internet of Things (IoT) become strategic design factors, and occupants totally or partially forego the role of driving, by relying on onboard Artificial Intelligence (AI). This digital ‘brain’ is designed to continuously exchange information with the surrounding built environment, and make key decisions accordingly.

Looking at future mobility scenarios of fully autonomous vehicles (AVs), passengers’ attention will no longer be focused on any driving task. This constitutes an unprecedented opportunity to re-think the primary role of fully autonomous interiors from scratch.

The COVID-19 pandemic has accelerated existing trends in the fields of remote working, automation, e-commerce, and transport. This has destabilised well-established travel habits changed preferences, values and expectations in the field of mobility and vehicle design.

The chapter provides key recommendations for the next generation Avs, which are founded on human-centred research and design principles rather than on the systematic implementation of information and communication technologies (ICTs). The conducted research outputs involved both final users and experts’ insights to better understand and respond to travellers’ lifestyles, needs and desires for the post-pandemic urban environment. This represents the latest challenge that society faces in the multifaceted area of smart mobility, which requires new cross-disciplinary approaches to design thinking and concept development.

Keywords: artificial intelligence ; autonomous drive ; car sharing ; covid-19 ; multimodal mobility ; smart city ; urban mobility ; V2X

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The Influence of Artificial Intelligence on Autonomous Vehicle Design and Users’ Lifestyle within Responsive Urban Environments
Intellect , 161 (2024); https://doi.org/10.1386/9781835950326_11
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  20. Tuominen, Anu , Antti Rehunen , Juna Peltomaa , and Kirsi Mäkinen . “Facilitating Practices for Sustainable Car Sharing Policies—An Integrated Approach Utilizing User Data, Urban Form Variables and Mobility Patterns.” Transportation Research Interdisciplinary Perspectives 2 (2019): 100055. https://doi.org/10.1016/j.trip.2019.100055.
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  21. Universal Technical Institute. “Main Components of a Car and Their Function.” Accessed August 12 , 2021. https://www.uti.edu/blog/automotive/car-components.
  22. Weiser, Mark. “The Computer for the 21st Century—Specialized Elements of Hardware and Software Connected by Wires, Radio Waves and Infrared Will Be So Ubiquitous That No One Will Notice Their Presence.” Scientific American (1991): 94–104. https://www.ics.uci.edu/~corps/phaseii/Weiser-Computer21stCentury-SciAm.pdf. Last accessed November 27 , 2023.
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  23. Winston, Clifford . “Improving Urban Mobility Through Technological Advance of Motor Vehicles.” New Cities Foundation. https://newcities.org/improving-urban-mobility-technological-advance-motor-vehicles/. New Cities. Published February 27, 2014.
  24. Yao, Richard . “The Shift Towards Multimodal Transportation & The Future of Mobility.” Accessed May 17 , 2021. https://medium.com/ipg-media-lab/the-shift-towards-multimodal-transportation-the-future-of-mobility-d0c7c25d4a06. Medium Published July 12, 2018.188

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