Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Smart Urbanism: Autonomous Vehicle Decision-Making Algorithms and Big Data-driven Transportation Networks

Smart Urbanism: Autonomous Vehicle Decision-Making Algorithms and Big Data-driven Transportation... This article presents an empirical study carried out to evaluate and analyze autonomous vehicle decision-making algorithms and big data-driven transportation networks in smart urbanism. Building my argument by drawing on data collected from AAA, ANSYS, Atomik Research, BCG, Capgemini, Ipsos, Kennedys, Statista, and World Economic Forum, I performed analyses and made estimates regarding uses, benefits, and social implications of autonomous vehicles. Data collected from 4,800 respondents are tested against the research model by using structural equation modeling. Keywords: urbanism; autonomous; vehicle; decision-making; algorithm; data http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Contemporary Readings in Law and Social Justice Addleton Academic Publishers

Smart Urbanism: Autonomous Vehicle Decision-Making Algorithms and Big Data-driven Transportation Networks

Download PDF
7 pages

Loading next page...
 
/lp/addleton-academic-publishers/smart-urbanism-autonomous-vehicle-decision-making-algorithms-and-big-nlcHn0lnX8

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1948-9137
eISSN
2162-2752
Publisher site
See Article on Publisher Site

Abstract

This article presents an empirical study carried out to evaluate and analyze autonomous vehicle decision-making algorithms and big data-driven transportation networks in smart urbanism. Building my argument by drawing on data collected from AAA, ANSYS, Atomik Research, BCG, Capgemini, Ipsos, Kennedys, Statista, and World Economic Forum, I performed analyses and made estimates regarding uses, benefits, and social implications of autonomous vehicles. Data collected from 4,800 respondents are tested against the research model by using structural equation modeling. Keywords: urbanism; autonomous; vehicle; decision-making; algorithm; data

Journal

Contemporary Readings in Law and Social Justice – Addleton Academic Publishers

Published: Jan 1, 2020

There are no references for this article.