Automated Vehicles in Smart Urban Environment: A Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00312221" target="_blank" >RIV/68407700:21260/17:00312221 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2017.7973864" target="_blank" >http://dx.doi.org/10.1109/SCSP.2017.7973864</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2017.7973864" target="_blank" >10.1109/SCSP.2017.7973864</a>
Alternative languages
Result language
angličtina
Original language name
Automated Vehicles in Smart Urban Environment: A Review
Original language description
Automated driving has become an important research trend in the field of cooperative intelligent transportation systems and their applications in smart cities. Automated driving both increases road capacity and eliminates human errors, one of the most common reason of traffic accidents. Both these aspects influence significantly the quality of life, which is a major goal of smart city initiatives. Management of automated vehicles by urban road infrastructure is a rather new subject and not so much practical development has been reported yet. Unfortunately, the available information is spread over fragments within other resources dealing with automated vehicles. In this paper, we provide an overview of major functionalities that have to be provided by both road infrastructure and an automated vehicle so that the vehicle can optimally navigate through an urban network with signalized intersections and we review the state-of-the-art publications providing approaches relevant to these core functionalities.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 Smart Cities Symposium Prague (SCSP) - IEEE PROCEEDINGS
ISBN
978-1-5386-3825-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
May 25, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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