A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

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Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2022
Major/Subject
Mcode
Degree programme
Language
en
Pages
15
50047-50061
Series
IEEE Access, Volume 10
Abstract
Highly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situational awareness. The present study investigates the worldwide research effort focusing on situational awareness for autonomous transport and explores how the maritime domain could benefit from it. The results indicate that most of the research originates from the automotive sector, but the topic is developing fast in other transportation modes too. Some findings have been shared across the modes of transportation, but only to a limited extent. Although technology development is performed based on the achievements within basic research domains, there has been little feedback from applied sciences. Similarly, collaborative research is not strongly developed.
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Keywords
Transportation, Bibliometrics, Safety, Market research, Autonomous vehicles, Indexes, Collaboration, Autonomous transportation, autonomous vehicles, safety of transportation, scientometrics, situation awareness, DRIVER TAKEOVER, TRENDS, AUTOMATION, SAFETY, TIME, PERFORMANCE, PATTERNS, NETWORK, IRONIES
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Citation
Boguslawski , K , Nasur , J , Li , J , Gil , M , Wrobel , K & Goerlandt , F 2022 , ' A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain ' , IEEE Access , vol. 10 , pp. 50047-50061 . https://doi.org/10.1109/ACCESS.2022.3174097