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12 Contemp. Readings L. & Soc. Just. 9 (2020)

handle is hein.journals/conreadlsj12 and id is 1 raw text is: Contemporary Readings in Law and Social Justice 12(1), 2020 pp. 9-15, ISSN 1948-9137, eISSN 2162-2752 Can Self-Driving Cars Lead to Sustainability? Autonomous Smart Sensors, Perception and Planning Algorithms, and Data Processing Efficiency John Keane j.keane@aa-er.org The Institute of Smart Big Data Analytics, New York City, NY, USA ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore whether self-driving cars can lead to sustainability. Using and replica- ting data from AUDI AG, AUVSI, Black & Veatch, Capgemini, CivicScience, Ipsos, J.D. Power, and Perkins Coie, I performed analyses and made estimates regarding autonomous smart sensors, perception and planning, and data processing efficiency. Data were analyzed using structural equation modeling. Keywords: self-driving; car; sustainability; sensor; perception; algorithm How to cite: Keane, J. (2020). Can Self-Driving Cars Lead to Sustainability? Autonomous Smart Sensors, Perception and Planning Algorithms, and Data Processing Efficiency, Contemporary Readings in Law and Social Justice 12(1): 9-15. doi:10.22381/CRLSJ12120201 Received 12 February 2020 Received in revised form 7 July 2020 Accepted 9 July 2020 Available online 10 July 2020 1. Introduction Self-driving vehicles monitored by artificial intelligence are progressively being assimilated in the transport portfolio of urban areas, with relevant consequences for the configuration and sustainability of the built setting. (Cugurullo et al., 2020) Innovative transport technologies integrate cutting edge sensors and groundbreaking computational networks to process the gathered data. (Cunneen et al., 2020) The adoption of autonomous vehicles should improve data-driven smart sustainable mobility and land use approaches. (Noguds et al., 2020) An interconnected structure of shared, self-driving electric vehicles may facilitate sustainable, zero-emission urban mobility encompassing a drastically diminished fleet size, thus leading to a superior resource use and meeting service level demands. (Dlugosch et al., 2020) 9

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