A dynamic estimation of passenger OD matrices based on space-state models
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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.
CitacióMontero, L.; Codina, E. A dynamic estimation of passenger OD matrices based on space-state models. A: European Conference on Operational Research. "Proceedings XXVI EURO - INFORMS Joint International Conference". Roma: 2013.