Citation

Kim H, Jayakrishnan R. Transp. Plann. Tech. 2010; 33(8): 747-768.

Copyright

(Copyright © 2010, Informa - Taylor and Francis Group)

DOI

10.1080/03081060.2010.536629

PMID

unavailable

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.