The estimation of a time-dependent OD trip table with vehicle trajectory samples |
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Authors: | Hyunmyung Kim R Jayakrishnan |
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Affiliation: | 1. Department of Transportation Engineering, College of Engineering , Myong Ji University , San 38-2 Nam-dong, Cheoin-gu, Youngin-si, Gyeonggi-do, 449-728, Korea khclsy@gmail.com;3. Department of Civil Engineering, Institute of Transportation Studies , University of California at Irvine , Irvine, CA, 92697-3600, USA |
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Abstract: | 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. |
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Keywords: | dynamic OD table dynamic OD estimation bi-level model link traffic counts vehicle trajectory |
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