J 2021

Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems

ALDRIDGE, Susan and Vojtěch STEHEL

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 and Vojtěch STEHEL

Edition

Contemporary Readings in Law and Social Justice, New York, USA, Addleton Academic Publishers, 2021, 1948-9137

Other information

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

References:

RIV identification code

RIV/75081431:_____/21:00002228

Organization unit

Institute of Technology and Business in České Budějovice

EID Scopus

2-s2.0-85120823503

Keywords in English

algorithmic decision-making; smart transportation; deep learning; intelligent vehicular network; big data; sensing technologies

Tags

Changed: 16/12/2021 15:10, Mgr. Nikola Petříková

Abstract

In the original language

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.

Files attached

Intelligent_vehicular_networks__deep_learning-based_sensing_technologies__and_big_data-driven_algorithmic_decision-making_in_smart_transportation_systems.pdf
Request the author's version of the file