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The estimation of a time-dependent OD trip table with vehicle trajectory samples

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  • Hyunmyung Kim
  • R. Jayakrishnan

Abstract

In this paper we discuss a dynamic origin--destination (OD) estimation problem that has been used for identifying time-dependent travel demand on a road network. Even though a dynamic OD table is an indispensable data input for executing a dynamic traffic assignment, it is difficult to construct using the conventional OD construction method such as the four-step model. For this reason, a direct estimation method based on field traffic data such as link traffic counts has been used. However, the method does not account for a logical relationship between a travel demand pattern and socioeconomic attributes. In addition, the OD estimation method cannot guarantee the reliability of estimated results since the OD estimation problem has a property named the ‘underdetermined problem.’ In order to overcome such a problem, the method developed in this paper makes use of vehicle trajectory samples with link traffic counts. The new method is applied to numerical examples and shows promising capability for identifying a temporal and spatial travel demand pattern.

Suggested Citation

  • Hyunmyung Kim & R. Jayakrishnan, 2010. "The estimation of a time-dependent OD trip table with vehicle trajectory samples," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(8), pages 747-768, October.
    • Handle: RePEc:taf:transp:v:33:y:2010:i:8:p:747-768
    DOI: 10.1080/03081060.2010.536629
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    Cited by:

    1. Santos Sánchez-Cambronero & Fernando Álvarez-Bazo & Ana Rivas & Inmaculada Gallego, 2021. "Dynamic Route Flow Estimation in Road Networks Using Data from Automatic Number of Plate Recognition Sensors," Sustainability, MDPI, vol. 13(8), pages 1-30, April.

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