Connected and Autonomous Transport Systems: Deep Learning-based Sensing Technologies, Data-driven Mobilities, and Intelligent Vehicular Networks
Connected and Autonomous Transport Systems: Deep Learning-based Sensing Technologies, Data-driven Mobilities, and Intelligent Vehicular Networks
Author(s): Rachel RobinsonSubject(s): Transport / Logistics
Published by: Addleton Academic Publishers
Keywords: connected; autonomous; transport; big data; mobility; vehicular network;
Summary/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.
Journal: Contemporary Readings in Law and Social Justice
- Issue Year: 12/2020
- Issue No: 2
- Page Range: 52-60
- Page Count: 9
- Language: Estonian
- Content File-PDF