ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to better understand the relationship between intelligent transportation systems, sensing and computing technologies, and connected autonomous vehicles. Using and replicating data from AAA, ANSYS, Atomik Research, Axios, Ipsos, BCG, Capgemini Research Institute, and Schoettle & Sivak (2014), I performed analyses and made estimates regarding consumer attitudes toward autonomous vehicles and similar technology (%), consumer willingness to buy autonomous cars (%), and top 5 activities that urban/suburban and millennial consumers would like to engage in while in a self-driving car (%). Data were analyzed using structural equation modeling.

Keywords: intelligent transportation system; sensing and computing technology

How to cite: Slaby, Cheryl (2019). “Decision-Making Self-Driving Car Control Algorithms: Intelligent Transportation Systems, Sensing and Computing Technologies, and Connected Autonomous Vehicles,” Contemporary Readings in Law and Social Justice 11(2): 29–35. doi:10.22381/CRLSJ11220194

Received 14 June 2019 • Received in revised form 11 October 2019
Accepted 13 October 2019 • Available online 15 November 2019

Cheryl Slaby
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Cognitive Decision-Making Algorithms,
Vancouver, Canada

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