Dynamic OD transit matrix estimation: formulation and model-building environment

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 pair

Document type: Part of book or chapter of book

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/2117/27608 under the license http://creativecommons.org/licenses/by-nc-nd/3.0/es/

• https://upcommons.upc.edu/bitstream/2117/27608/2/ICSEng2014_KFX3T%20v1.pdf under the license cc-by-nc-nd

• http://link.springer.com/content/pdf/10.1007/978-3-319-08422-0_51,http://dx.doi.org/10.1007/978-3-319-08422-0_51 under the license http://www.springer.com/tdm

• https://upcommons.upc.edu/handle/2117/27608,https://link.springer.com/chapter/10.1007/978-3-319-08422-0_51,https://core.ac.uk/display/41778175,http://upcommons.upc.edu/bitstream/handle/2117/27608/LKF2DyTransitMatrix_v5.pdf;sequence=3,https://academic.microsoft.com/#/detail/236621321

DOIS: 10.1007/978-3-319-08422-0_51 10.1007/978-3-319-08422-0