Big data-driven transportation planning and engineering: Smart urbanism, autonomous vehicle algorithms, and network connectivity systems

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.