Prediction system of occupancy of parking spaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F15%3A00230941" target="_blank" >RIV/68407700:21260/15:00230941 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2015.7181543" target="_blank" >http://dx.doi.org/10.1109/SCSP.2015.7181543</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2015.7181543" target="_blank" >10.1109/SCSP.2015.7181543</a>
Alternative languages
Result language
angličtina
Original language name
Prediction system of occupancy of parking spaces
Original language description
This paper presents the result of the project TA02031411 - transportation system which provides information about the predicted occupancy of parking spaces to truck drivers. Providing this information leads to optimizing the use of existing parking spaces on the highway network and also makes it easier for drivers to deciding on a suitable location for parking, which ultimately contributes to the fluency and safety of traffic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA02031411" target="_blank" >TA02031411: Increasing the usage of parking capacity on highways using prediction models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2015 Smart Cities Symposium Prague (SCSP)
ISBN
978-1-4673-6727-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
-1
Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
Jun 24, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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