Application of Mobility Hub for automatic parking in the city
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00350971" target="_blank" >RIV/68407700:21260/21:00350971 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SCSP52043.2021.9447395" target="_blank" >https://doi.org/10.1109/SCSP52043.2021.9447395</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP52043.2021.9447395" target="_blank" >10.1109/SCSP52043.2021.9447395</a>
Alternative languages
Result language
angličtina
Original language name
Application of Mobility Hub for automatic parking in the city
Original language description
Automatic parking services can make a significant contribution to saving time, reducing emissions, increasing safety and increasing the mental well-being of drivers. Thanks to automated parking, it is also possible to optimize the use of parking spaces. The article deals with the issue of automated parking in urban areas. The aim is to present a proposal for the application of smart solutions in the form of a Mobility Hub for parking, along with subsequent control and enforcement that falls within the areas within Smart City. Mobility Hub is an important attribute for the future functioning of mobility. An integral part of the verification of parking options is the users' own interest in automatic elements in the vehicle and thus the connection to mobile applications, other systems, and involvement in the Mobility Hub for the use and sharing of information. The survey, the results of which are reflected in this article, examines the interest of potential users.
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
10700 - Other natural sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 Smart City Symposium Prague
ISBN
9780738131580
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
IEEE Signal Processing Society
Place of publication
Piscataway
Event location
Prague
Event date
May 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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