Original title: Forecasting System for Truck Parking Based on Statistical Modeling of Indirect Data
Authors: Brabec, Marek ; Konár, Ondřej ; Kasanický, Ivan ; Pelikán, Emil ; Malý, Marek ; Lokaj, Z. ; Zelinka, T.
Document type: Papers
Conference/Event: ETC 2013. European Transport Congress /11./, Prague (CZ), 2013-09-19 / 2013-09-20
Year: 2013
Language: eng
Abstract: In this paper, we describe briefly ongoing work on a project devoted to development and pilot verification of a system for highway truck parking detection and forecasting. The project has been funded by the Technological Agency of the Czech Republic (TACR) during 2012-2014 as the project number TA02031411: “Increasing the usage of parking capacity on highways using prediction models”. It is based on a unique collaboration of Faculty of Transportation Sciences, Czech Technical University in Prague, Institute of Computer Science, Academy of Sciences of the Czech Republic, Inoxive Ltd. and Kapsch Telematic Services Ltd.
Keywords: dynamic models; generalized additive models; intelligent transport systems; statistical modeling; traffic modeling
Project no.: TA02031411 (CEP)
Funding provider: GA TA ČR
Host item entry: Proceedings of the 11th European Transport Congress, ISBN 978-80-01-05321-8

Institution: Institute of Computer Science AS ČR (web)
Document availability information: Fulltext is available in the digital repository of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0223986

Permalink: http://www.nusl.cz/ntk/nusl-156576


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