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A framework for the benchmarking of OD estimation and prediction algorithms

Authors :
Antoniou, A. (author)
Ciuffo, B. (author)
Montero, L. (author)
Casas, J. (author)
Barcelo, J. (author)
Cipriani, E. (author)
Djukic, T. (author)
Marzano, V. (author)
Nigro, M. (author)
Bullejos, M. (author)
Perarnau, J. (author)
Breen, M. (author)
Punzo, V. (author)
Toledo, T. (author)
Antoniou, A. (author)
Ciuffo, B. (author)
Montero, L. (author)
Casas, J. (author)
Barcelo, J. (author)
Cipriani, E. (author)
Djukic, T. (author)
Marzano, V. (author)
Nigro, M. (author)
Bullejos, M. (author)
Perarnau, J. (author)
Breen, M. (author)
Punzo, V. (author)
Toledo, T. (author)
Publication Year :
2014

Abstract

In this research we describe the development of a common evaluation and benchmarking platform that has been developed within the framework of the European Union COST Action MULTITUDE. The main goal of this platform is to provide a testbed in which a number of algorithms can be implemented and tested under the same conditions. The objective is not to conclude that one approach is “best”, but to provide a support comparison in a variety of settings and conditions in order to help determine the particular situations and conditions under which one approach might behave more favorably than another. The design of the platform is presented, along with a detailed experimental design for the application of different OD estimation algorithms. The considered algorithms are then presented, along with a demonstration of the extensibility of the presented framework to accommodate additional data sources. The presented results demonstrate that the developed framework is capable of supporting the development, application and testing of a wide range of algorithms. First, both off-line/planning level algorithms (like the Bilevel-DUE) and on-line algorithms (like that SPSA AD-PI and the KFX2) are presented.<br />Transport and Planning<br />Civil Engineering and Geosciences

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1357835215
Document Type :
Electronic Resource