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ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on big data-driven transportation systems. Using and replicating data from ANSYS, APA, Arm, Atomik Research, Brookings, CBS Interactive, Gallup, Kennedys, KPMG, McKinsey, MRCagney, SAE, Statista, TechRepublic, Thomas et al. (2015), and ZDNet, I performed analyses and made estimates regarding smart urbanism, autonomous vehicle algorithms, and network connectivity systems. Data were analyzed using structural equation modeling.

Keywords: big data; transportation; smart urbanism; autonomous; vehicle; algorithm

How to cite: Clark, A. (2020). “Big Data-driven Transportation Planning and Engineering: Smart Urbanism, Autonomous Vehicle Algorithms, and Network Connectivity Systems,” Contemporary Readings in Law and Social Justice 12(2): 70–78. doi:10.22381/CRLSJ12220208

Received 8 July 2020 • Received in revised form 6 November 2020
Accepted 9 November 2020 • Available online 10 November 2020

Ann Clark
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Big Data Analytics Research Unit
at ISBDA, Dublin, Ireland

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