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.

Keywords: connected and autonomous vehicle use; algorithmic governance; traffic

How to cite: Lyakina, Maria, Wendy Heaphy, Vladimir Konecny, and Tomas Kliestik (2019). “Algorithmic Governance and Technological Guidance of Connected and Autonomous Vehicle Use: Regulatory Policies, Traffic Liability Rules, and Ethical Dilemmas,” Contemporary Readings in Law and Social Justice 11(2): 15–21. doi:10.22381/CRLSJ11220192

Received 10 May 2019 • Received in revised form 15 October 2019
Accepted 17 October 2019 • Available online 15 November 2019