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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)


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