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المؤلفNacer Eddine, Bezai
المؤلفMedjdoub, Benachir
المؤلفAl-Habaibeh, Amin
المؤلفChalal, Moulay Larbi
المؤلفFadli, Fodil
تاريخ الإتاحة2024-03-18T08:04:02Z
تاريخ النشر2021-01-31
اسم المنشورEnergy and Built Environment
المعرّفhttp://dx.doi.org/10.1016/j.enbenv.2020.05.002
الاقتباسBezai, N. E., Medjdoub, B., Al-Habaibeh, A., Chalal, M. L., & Fadli, F. (2021). Future cities and autonomous vehicles: analysis of the barriers to full adoption. Energy and Built Environment, 2(1), 65-81.
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S2666123320300398
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53143
الملخصThe inevitable upcoming technology of autonomous vehicles (AVs) will affect our cities and several aspects of our lives. The widespread adoption of AVs repose at crossing distinct barriers that prevent their full adoption. This paper presents a critical review of recent debates about AVs and analyse the key barriers to their full adoption. This study has employed a mixed research methodology on a selected database of recently published research works. Thus, the outcomes of this review integrate the barriers into two main categories; (1) User/Government perspectives that include (i) Users' acceptance and behaviour, (ii) Safety, and (iii) Legislation. (2) Information and Communication Technologies (ICT) which include (i) Computer software and hardware, (ii) Communication systems V2X, and (iii) accurate positioning and mapping. Furthermore, a framework of barriers and their relations to AVs system architecture has been suggested to support future research and technology development.
راعي المشروعThis work is fully funded by Nottingham Trent University.
اللغةen
الناشرKeAi Communications Co.
الموضوعautonomous vehicles
smart city
barriers
safety
technology
users' behaviour
العنوانFuture cities and autonomous vehicles: analysis of the barriers to full adoption
النوعArticle
الصفحات65-81
رقم العدد1
رقم المجلد2
Open Access user License http://creativecommons.org/licenses/by-nc-nd/4.0/
ESSN2666-1233
dc.accessType Open Access


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