Highway Truck Parking Prediction System and Statistical Modeling Underlying its Development
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00442563" target="_blank" >RIV/67985807:_____/14:00442563 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Highway Truck Parking Prediction System and Statistical Modeling Underlying its Development
Original language description
In this paper, we will describe a system for on-line prediction of truck parking demand along highway system in the Czech Republic. We will describe structure of the system developed during the TACR TA02031411 project and mention some of its specific functionalities. Further, we will explain in detail statistical modeling methodology which underlies the forecasting model in the core of the prediction procedure. Whole system relies on the use of indirect but very precise and relatively cheap to obtain toll transaction data (accessible through a cooperation with Kapsch Telematic Services, Inc.). Our statistical modeling starts with a recognition of the fact that the number of trucks parking at a given lot and given time is a latent variable to be estimated from the observable toll transaction data (which are available in the form of times when individual truck pass toll gates). After constructing appropriate proxy variable, we formulate a flexible class of statistical semi-parametric mod
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Second International Conference on Traffic and Transport Engineering
ISBN
978-86-916153-2-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
164-170
Publisher name
City Net Scientific Research Center
Place of publication
Belgrade
Event location
Belgrade
Event date
Nov 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000348569200021