Algorithmic governance and technological guidance of connected and autonomous vehicle use: Regulatory policies, traffic liability rules, and ethical dilemmas

Abstract

This article presents an empirical study carried out to evaluate and analyze algorithmic governance and technological guidance of connected and autonomous vehicle use. Building our argument by drawing on data collected from AAA, ANSYS, Atomik Research, Axios, CivicScience, eMarketer, FHWA, Ipsos, McKinsey, and Schoettle & Sivak (2014), we performed analyses and made estimates regarding automated vehicle technologies and their impact on future mobility (%), comfort levels with autonomous cars across all ages and markets (%), estimated public benefits of autonomous vehicles (by year, $ billion), and greatest concerns about riding in an autonomous car (%). Data collected from 4,400 respondents are tested against the research model by using structural equation modeling.