Towards a generic benchmarking platform for origin-destination flows estimation/updating algorithms: Design, demonstration and validation
| Autor: | Tamara Djukic, Ernesto Cipriani, Josep Perarnau, Martijn Breen, Jordi Casas, Serge P. Hoogendoorn, Vincenzo Punzo, Marialisa Nigro, Lidia Montero, Manuel Bullejos, Tomer Toledo, Jaume Barceló, Biagio Ciuffo, Hans van Lint, Vittorio Marzano, Constantinos Antoniou |
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| Přispěvatelé: | Antoniou, Constantino, Barceló, Jaume, Breen, Martijn, Bullejos, Manuel, Casas, Jordi, Cipriani, Ernesto, Ciuffo, Biagio, Djukic, Tamara, Hoogendoorn, Serge, Marzano, Vittorio, Montero, Lídia, Nigro, Marialisa, Perarnau, Josep, Punzo, Vincenzo, Toledo, Tomer, van Lint, Hans, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Big data Transportation 010501 environmental sciences Management Science and Operations Research 01 natural sciences Extensibility Matemàtiques i estadística::Investigació operativa [Àrees temàtiques de la UPC] 0502 economics and business Simulation-based DTA 0105 earth and related environmental sciences Civil and Structural Engineering Structure (mathematical logic) 050210 logistics & transportation business.industry 05 social sciences Computer Science Applications1707 Computer Vision and Pattern Recognition Benchmarking benchmarking platform Origin-Destination (OD) estimation/updating Variety (cybernetics) 90 Operations research mathematical programming [Classificació AMS] Information and Communications Technology Benchmarking platform Traffic modelling Automotive Engineering Key (cryptography) State (computer science) origin-destination (OD) estimation/updating business Algorithm |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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