Connected and autonomous transport systems: Deep learning-based sensing technologies, data-driven mobilities, and intelligent vehicular networks

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Abstract

Empirical evidence on connected and autonomous transport systems has been scarcely documented in the literature. Using and replicating data from Accenture, AUVSI, Behaviour & Attitudes, Black & Veatch, Capgemini, eMarketer, Kennedys, Morning Consult, Perkins Coie, SAE, Statista, and YouGov, I performed analyses and made estimates regarding deep learning-based sensing technologies, data-driven mobilities, and intelligent vehicular networks. Data were analyzed using structural equation modeling.

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Robinson, R. (2020). Connected and autonomous transport systems: Deep learning-based sensing technologies, data-driven mobilities, and intelligent vehicular networks. Contemporary Readings in Law and Social Justice, 12(2), 52–60. https://doi.org/10.22381/CRLSJ12220206

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