Title: Towards a generic benchmarking platform for origin-destination flows estimation/updating algorithms: Design, demonstration and validation
Authors: ANTONIOU ConstantinosBARCELÒ JaumeBREEN MartijnBULLEJOS ManuelCASAS JordiCIPRIANI ErnestoCIUFFO BIAGIODJUKIC TamaraHOOGENDOORN Serge P.MARZANO VittorioMONTERO LidiaNIGRO MarialisaPERARNAU JosepPUNZO VincenzoTOLEDO TomerVAN LINT Hans
Citation: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES vol. 66 p. 79-98
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publication Year: 2016
JRC N°: JRC97304
ISSN: 0968-090X
URI: http://www.sciencedirect.com/science/article/pii/S0968090X15003101
http://publications.jrc.ec.europa.eu/repository/handle/JRC97304
DOI: 10.1016/j.trc.2015.08.009
Type: Articles in periodicals and books
Abstract: Estimation/updating of origin-destination (OD) flows and other traffic state parameters is a classical, widely adopted procedure in transport engineering, both in off-line and in on-line contexts. Notwithstanding numerous approaches proposed in the literature, there is still room for considerable improvements, also leveraging the unprecedented opportunity offered by information and communication technologies and big data. A key issue relates to the unobservability of OD flows in real networks – except from closed highway systems – thus leading to inherent difficulties in measuring performance of OD flows estimation/updating methods and algorithms. Starting from these premises, the paper proposes a common evaluation and benchmarking framework, providing a synthetic test bed, which enables implementation and comparison of OD estimation/updating algorithms and methodologies under “standardized” conditions. The framework, implemented in a platform available to interested parties upon request, has been flexibly designed and allows comparing a variety of approaches under various settings and conditions. Specifically, the structure and the key features of the framework are presented, along with a detailed experimental design for the application of different dynamic OD flow estimation algorithms. By way of example, applications to both off-line/planning and on-line algorithms are presented, together with a demonstration of the extensibility of the presented framework to accommodate additional data sources.
JRC Directorate:Energy, Transport and Climate

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