Abstract
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.
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Acknowledgments
The research was funded by TRA2011-27791-C03-02 of the Spanish R+D National Programs, and it benefited from EU COST Action TU0903 MULTITUDE.
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Montero, L., Codina, E., Barceló, J. (2015). Dynamic OD transit matrix estimation: formulation and model-building environment. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_51
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DOI: https://doi.org/10.1007/978-3-319-08422-0_51
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