ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on autonomous vehicle driving algorithms and smart mobility technologies in big data-driven transportation planning and engineering. Using and replicating data from ANSYS, Atomik Research, AUDI AG, Brookings, Capgemini, Deloitte, GHSA, Ipsos, Kennedys, McKinsey, Pew Research Center, Schoettle & Sivak (2014), and Statista, I performed analyses and made estimates regarding smart urban transportation systems. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: smart mobility; big data-driven transportation; autonomous vehicle

How to cite: Bennett, A. (2021). “Autonomous Vehicle Driving Algorithms and Smart Mobility Technologies in Big Data-driven Transportation Planning and Engineering,” Contemporary Readings in Law and Social Justice 13(1): 20–29. doi: 10.22381/CRLSJ13120212.

Received 19 March 2021 • Received in revised form 4 July 2021
Accepted 11 July 2021 • Available online 15 July 2021

Amy Bennett
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cyber-Physical Production Networks Research Unit
at AAER, Wellington, New Zealand

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

Joomla templates by Joomlashine