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