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Dynamic OD transit matrix estimation: formulation and model-building environment
Montero Mercadé, Lídia; Codina Sancho, Esteve; Barceló Bugeda, Jaime
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. PROMALS - Grup de Recerca en Programació Matemática, Logística i Simulació
The aim of this paper is to provide a detailed description of a framework for the estimation of time-sliced origin-destination (OD) trip matrices in a transit network using counts and travel time data of Bluetooth Smartphone devices carried by passengers at equipped transit-stops. A Kalman filtering formulation defined by the authors has been included in the application. The definition of the input for building the space-state model is linked to network scenarios modeled with the transportation planning platform EMME. The transit assignment framework is optimal strategy-based, which determines the subset of paths related to the optimal strategies between all OD pairs
Peer Reviewed
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
Demand Estimation
Information Systems
Advanced Transport Information Systems
Kalman Filtering
Classificació AMS::90 Operations research, mathematical programming
Attribution-NonCommercial-NoDerivs 3.0 Spain

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