Kalman-Filtering formulation details for Dynamic OD passenger matrix estimation
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Document typeConference report
Defense date2014
Rights accessRestricted access - publisher's policy
Abstract
In this paper, we describe how to estimate time-sliced origin-destination (OD) matrices for passengers in
a public transport network based on counts of ICT (Intelligent Communication Technology) devices
carried by passengers at equipped transit-stops. The transit assignment framework is based on optimal
strategy, which determines the subset of paths related to the optimal strategies between all OD pairs for
the whole horizon of study. Details are provided on how to build the involved equations in a linear
Kalman filtering model formulation, which is defined by the authors for a toy network that is proposed to
validate the approach.
CitationMontero, L.; Codina, E.; Barcelo, J. Kalman-Filtering formulation details for Dynamic OD passenger matrix estimation. A: International Conference on Applied Operational Research. "Lecture Notes in Management Science - Vol 6". VANCOUVER: 2014, p. 82-90.
ISBN2008 - 0050
Publisher versionhttp://www.tadbir.ca/lnms/archive/v6/lnmsv6p82.pdf
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