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Autonomous Vehicle Algorithms, Big Geospatial Data Analytics, and Interconnected Sensor Networks in Urban Transportation Systems

Autonomous Vehicle Algorithms, Big Geospatial Data Analytics, and Interconnected Sensor Networks in Urban Transportation Systems

ABSTRACT. Employing recent research results covering autonomous vehicle algorithms, big geospatial data analytics, and interconnected sensor networks in urban transportation systems, and building my argument by drawing on data collected from AAA, BCG, Brookings, Capgemini, CivicScience, eMarketer, GenPop, Ipsos, MRCagney, OpinionWay, Statista, Thomas et al. (2015), and World Economic Forum, I performed analyses and made estimates regarding connected and autonomous vehicle mobility. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: autonomous vehicle; interconnected sensor network; urban transportation

How to cite: Mitchell, A. (2021). “Autonomous Vehicle Algorithms, Big Geospatial Data Analytics, and Interconnected Sensor Networks in Urban Transportation Systems,” Contemporary Readings in Law and Social Justice 13(1): 50–59. doi: 10.22381/CRLSJ13120215.

Received 19 March 2021 • Received in revised form 8 July 2021
Accepted 12 July 2021 • Available online 15 July 2021

Ann Mitchell
ann.mitchell@aa-er.org
The Networked Governance Research Unit
at CLI, Boulder, CO, USA