A dynamic estimation of passenger OD matrices based on space-state models
Document typeConference report
Rights accessOpen Access
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.
CitationMontero, 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.