ALDRIDGE, Susan and Vojtěch STEHEL. Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems. Contemporary Readings in Law and Social Justice. New York, USA: Addleton Academic Publishers, 2021, vol. 13, No 2, p. 107-120. ISSN 1948-9137.
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Basic information
Original name Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems
Authors ALDRIDGE, Susan (guarantor) and Vojtěch STEHEL (203 Czech Republic, belonging to the institution).
Edition Contemporary Readings in Law and Social Justice, New York, USA, Addleton Academic Publishers, 2021, 1948-9137.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50200 5.2 Economics and Business
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/21:00002228
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English algorithmic decision-making; smart transportation; deep learning; intelligent vehicular network; big data; sensing technologies
Tags BSA_MIE, RIV21, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 16/12/2021 15:10.
Abstract
The authors analyze the outcomes of an exploratory review of the current research on intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems.
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