2020
DOI: 10.1080/03081060.2020.1747200
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Autonomous vehicles: who will use them, and will they share?

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Cited by 28 publications
(11 citation statements)
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“…AV deployment and SAVs, in particular, offer an opportunity to reconsider such important issues and bring them to the centre of relevant debates and policy decisions [34] (CIVITAS, 2020). Equivalent gender mobility issues have been observed across different countries (ITF, Di Ciommo and Hoadley, 2021 [35]; Clayton, 2020 [36]), since women have been found to have a lower attachment to car ownership levels and trust in new technologies on average.…”
Section: Introductionmentioning
confidence: 99%
“…AV deployment and SAVs, in particular, offer an opportunity to reconsider such important issues and bring them to the centre of relevant debates and policy decisions [34] (CIVITAS, 2020). Equivalent gender mobility issues have been observed across different countries (ITF, Di Ciommo and Hoadley, 2021 [35]; Clayton, 2020 [36]), since women have been found to have a lower attachment to car ownership levels and trust in new technologies on average.…”
Section: Introductionmentioning
confidence: 99%
“…Today in the context of smart city cooperative intelligent transport system development [3,12,13,14,15], in which the vehicle and the stationary infrastructure work together to ensure the safety and efficiency of traffic, the transportation process is strongly influenced by the human factor. As a result, the rational choice is taken at the time of participation between the driver, the carrier and traffic participant.…”
Section: Resultsmentioning
confidence: 99%
“…With the general trend to digitalization, two ways of development and adoption of autonomous vehicles can be identified [6]:…”
Section: Methodsmentioning
confidence: 99%
“…In addition, in transport and logistics systems, routine operations of interaction between economic agents are being changed, and the elements of intelligent control systems are being introduced. Also, as part of implementation of highly automated vehicles [6], technologies and solutions are being improved: − V2V in the field of IEEE 802.bd and NR-V2X standards, DSRC technology in accordance with IEEE 802.11p, ensuring vehicle interoperability; − ADAS system (LDWS -lane departure warning system, LKAS -lane keeping assistance system, etc. ); − convolutional neural networks (CNN) and recurrent neural networks (RNN) as components of artificial intelligence that identify the roads and its parameters; − systems of deep learning and reinforcement learning (DRL) as forms of machine learning; − computer vision (road models, etc.).…”
Section: Introductionmentioning
confidence: 99%