DocumentCode
1849329
Title
The Hungarian national freight transport model
Author
Cselle, Ferenc ; Berki, Zsolt
Author_Institution
Transp. Modelling Team, FOMTERV Ltd., Budapest, Hungary
fYear
2015
fDate
3-5 June 2015
Firstpage
530
Lastpage
536
Abstract
Freight transport modelling is always a challenge since its complexity and the often scarce data availability, and the varying rate of detail in available databases. After a long EU wide research and development period the TRANS-TOOLS model system was developed on European continental scale with extensions to the eastern Mediterranean countries, however it raised a number of concerns during the former applications. The National Transport Infrastructure-Development Strategy required the development of a national transportation model for Hungary that could handle both traffic volume and modal shift effects of policies. The paper presents the background and the model built including its validation. The model applies the Aggregate-Disaggregate-Aggregate approach to improve the transposition from EU scale to national scale. Through selected set of applications covering both infrastructure and financial measures the sensitivity of the model is presented.
Keywords
freight handling; research and development; transportation; European continental scale; Hungarian national freight transport model; TRANS-TOOLS model system; aggregate-disaggregate-aggregate approach; freight transport modelling; national transport infrastructure-development strategy; national transportation model; research and development; scarce data availability; Analytical models; Biological system modeling; Data models; Databases; Rail transportation; Rails; TRANS-TOOLS; freight model; national strategy; transport modelling; transport policy measures;
fLanguage
English
Publisher
ieee
Conference_Titel
Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on
Conference_Location
Budapest
Print_ISBN
978-9-6331-3140-4
Type
conf
DOI
10.1109/MTITS.2015.7223304
Filename
7223304
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