ABSTRACT. This article presents an empirical study carried out to evaluate and analyze sustainable and smart urban transport systems. Building my argument by drawing on data collected from ANSYS, Atomik Research, AUVSI, Axios, BCG, Brookings, Capgemini, Ipsos, McKinsey, and Perkins Coie, I performed analyses and made estimates regarding sensing and computing technologies, intelligent vehicular networks, and data-driven automated decision-making. Data collected from 4,800 respondents are tested against the research model by using structural equation modeling.

Keywords: sustainable; smart; transport; vehicular network; big data; urban

How to cite: Peters, E. (2020). “Sustainable and Smart Urban Transport Systems: Sensing and Computing Technologies, Intelligent Vehicular Networks, and Data-driven Automated Decision-Making,” Contemporary Readings in Law and Social Justice 12(2): 43–51. doi:10.22381/CRLSJ12220205

Received 7 July 2020 • Received in revised form 5 November 2020
Accepted 8 November 2020 • Available online 10 November 2020

Elisabeth Peters
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The Cognitive Artificial Intelligence
Systems Laboratory at ISBDA, Cambridge, England

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