Forecasting System for Truck Parking Based on Statistical Modeling of Indirect Data

Autoři: Ing. Marek Brabec, PhD.
Ondřej Konár
Ivan Kasanický
prof. Ing. Emil Pelikán, CSc.
RNDr. Marek Malý, CSc.
Rok vydání: 2013
Typ publikace: Konferenční příspěvek (mezinárodní konf.)
Periodikum: Proceedings of the 11th European Transport Congress
Projekty: Zvýšení využití parkovací kapacity na dálnicích za pomoci predikčních modelů
Bibliografická citace: BRABEC, Marek, KONÁR, Ondřej, KASANICKÝ, Ivan, PELIKÁN, Emil, MALÝ, Marek, LOKAJ, Z., ZELINKA, T. Forecasting System for Truck Parking Based on Statistical Modeling of Indirect Data. In: Proceedings of the 11th European Transport Congress. Praha: ČVUT FD, 2013, S. 26-28. ISBN 978-80-01-05321-8.
ID: 396159

Abstrakt

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.