2018
DOI: 10.20858/sjsutst.2018.100.2
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Autonomous vehicles: basic issues

Abstract: The work was dedicated to the subject of innovative autonomous vehicles on the transport market. The paper presents basic information about autonomous cars: a nomenclature characteristic of autonomous vehicles, along with the terms "automatic", "autonomous", "self-drive" and "driverless". The article also presents various types of autonomous cars based on the most popular classifications in the world. The purpose of the work is to present basic issues related to autonomous vehicles.

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Cited by 28 publications
(18 citation statements)
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References 11 publications
(12 reference statements)
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“…However, currently, those kinds of data are not available due to the low percentage of autonomous vehicles in the automotive market. In subsequent works, we plan to further analyse travel costs, taking into account a more significant number of input factors and detailed features related to autonomous vehicles [42,43] to simulate the use of autonomous vehicles in more detail in the conditions of the urban transport system, as soon as more detailed data are available.…”
Section: Discussionmentioning
confidence: 99%
“…However, currently, those kinds of data are not available due to the low percentage of autonomous vehicles in the automotive market. In subsequent works, we plan to further analyse travel costs, taking into account a more significant number of input factors and detailed features related to autonomous vehicles [42,43] to simulate the use of autonomous vehicles in more detail in the conditions of the urban transport system, as soon as more detailed data are available.…”
Section: Discussionmentioning
confidence: 99%
“…We emphasize that the application to electric vehicles provided a thorough evaluation of SAAM, but our tool is not limited to this specific application as it constitutes a reusable approach to generate scenarios. SAAM could thus be applied to similar issues in sustainability, such as autonomous vehicles [98], which have already been the subject of scenario generation studies using Fuzzy Cognitive Maps [99]. Our tool can more broadly benefit areas that frequently engage in the development of data-informed scenarios [100,101].…”
Section: Findings and Implicationsmentioning
confidence: 99%
“…The issue of production and assembly was addressed in [5] and [6]. Looking to the future of autonomous driving was dealt with in [7].…”
Section: Introductionmentioning
confidence: 99%