Connected and networked driving: Smart mobility technologies, urban transportation systems, and big data-driven algorithmic decision-making

Abstract

Based on an in-depth survey of the literature, the purpose of the paper is to explore connected and networked driving. Using and replicating data from AAA, Adobe Analytics, ANSYS, Atomik Research, AUVSI, Axios, Deloitte, EY, Ipsos, McKinsey, Perkins Coie, SAE, and Schoettle & Sivak (2014), I performed analyses and made estimates regarding smart mobility technologies, urban transportation systems, and big data-driven algorithmic decision-making. Data were analyzed using structural equation modeling.