A dynamic estimation of passenger OD matrices based on space-state models
Autor: | Montero Mercadé, Lídia, Codina Sancho, Esteve |
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Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. PROMALS - Grup de Recerca en Programació Matemática, Logística i Simulació |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: | |
Zdroj: | Recercat. Dipósit de la Recerca de Catalunya Universitat Jaume I |
Popis: | Dynamic OD passenger matrices must be taken into account when designing robust public transport systems. The adjustment of these matrices is examined using passenger counts provided by a space-state model formulation in a demand-variable peak-period. The Kalman filter approach also incorporates ICT data, based on the detection of the electronic signature of on-board devices, thus providing a rich source of data that can be used in space-state models to simplify its formulation. It reduces the dimension of the state vector and allows a linear mapping between state variables and measurements. |
Databáze: | OpenAIRE |
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