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13 Contemp. Readings L. & Soc. Just. 9 (2021)

handle is hein.journals/conreadlsj13 and id is 1 raw text is: Contemporary Readings in Law and Social Justice 13(1), 2021
pp. 9-19, ISSN 1948-9137, eISSN 2162-2752
Autonomous Vehicle Decision-M aking Algorithms and
Data-driven M obilities in Networked Transport Systems
Edward Taylor
edward.taylor@aa-er.org
The Institute of Smart Big Data Analytics,
New York City, NY, USA
ABSTRACT. This article presents an empirical study carried out to evaluate and
analyze autonomous vehicle decision-making algorithms and data-driven mobilities in
networked transport systems. Building my argument by drawing on data collected
from AAA, Accenture, ANSYS, APA, Atomik Research, AUVSI, BikePGH, Black &
Veatch, Brookings, CARiD, eMarketer, MRCagney, Perkins Coie, and Pew Research
Center, I performed analyses and made estimates regarding Internet of Things-
assisted smart logistics transportation. Data collected from 5,400 respondents are
tested against the research model. Descriptive statistics of compiled data from the
completed surveys were calculated when appropriate.
Keywords: networked transport system; autonomous vehicle; data-driven mobility
How to cite: Taylor, E. (2021). Autonomous Vehicle Decision-Making Algorithms and Data-
driven Mobilities in Networked Transport Systems, Contemporary Readings in Law and Social
Justice 13(1): 9-19. doi: 10.22381/CRLSJ13120211.
Received 12 March 2021 - Received in revised form 10 July 2021
Accepted 13 July 2021 - Available online 15 July 2021
1. Introduction
A significant volume of the accidents entailing self-driving cars are not
generated by the performance of autonomous vehicle algorithms, but as a
result of human intervention, because the operating behavior of self-driving
cars was not adequately grasped by human drivers. (Qi et al., 2021) Through-
out the environment perception phase of autonomous driving, cars should
track their surrounding objects swiftly and precisely to prevent dangerous
behaviors. (Chen et al., 2021) Self-driving car technology is designed to
substitute standard transportation systems further than energy conservation,
pollution monitoring, crash prevention, etc. (Amudha, 2021)

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