Siripirote, T, Sumalee, A, Watling, DP orcid.org/0000-0002-6193-9121 et al. (1 more author) (2014) Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 18 (4). pp. 393-409. ISSN 1547-2450
Abstract
This article proposes a maximum-likelihood method to update travel behavior model parameters and estimate vehicle trip chain based on plate scanning. The information from plate scanning consists of the vehicle passing time and sequence of scanned vehicles along a series of plate scanning locations (sensor locations installed on road network). The article adopts the hierarchical travel behavior decision model, in which the upper tier is an activity pattern generation model, and the lower tier is a destination and route choice model. The activity pattern is an individual profile of daily performed activities. To obtain reliable estimation results, the sensor location schemes for predicting trip chaining are proposed. The maximum-likelihood estimation problem based on plate scanning is formulated to update model parameters. This problem is solved by the expectation-maximization (EM) algorithm. The model and algorithm are then tested with simulated plate scanning data in a modified Sioux Falls network. The results illustrate the efficiency of the model and its potential for an application to large and complex network cases.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, Taylor and Francis Group, LLC. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Intelligent Transportation Systems: Technology, Planning, and Operations on 15 Jul 2014, available online: http://dx.doi.org/10.1080/15472450.2013.806761. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | EM algorithm; Maximum-likelihood estimation; Plate scanning; Trip chaining |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jul 2015 10:20 |
Last Modified: | 11 Jun 2019 10:41 |
Published Version: | http://dx.doi.org/10.1080/15472450.2013.806761 |
Status: | Published |
Publisher: | Taylor Francis |
Identification Number: | 10.1080/15472450.2013.806761 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85351 |