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https://ir.swu.ac.th/jspui/handle/123456789/13822
Title: | Updating of travel behavior model parameters and estimation of vehicle trip chain based on plate scanning |
Authors: | Siripirote T. Sumalee A. Watling D.P. Shao H. |
Keywords: | Chains Complex networks Location Maximum likelihood Maximum likelihood estimation Maximum principle Scanning Transportation Vehicles EM algorithms Estimation of vehicles Estimation results Expectation-maximization algorithms Maximum likelihood methods Model and algorithms Travel behavior modeling Trip chaining Parameter estimation |
Issue Date: | 2014 |
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. © Taylor and Francis Group, LLC. |
URI: | https://ir.swu.ac.th/jspui/handle/123456789/13822 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904217363&doi=10.1080%2f15472450.2013.806761&partnerID=40&md5=36a4b0736d30d97449c2ac3b8b6e04c3 |
ISSN: | 15472450 |
Appears in Collections: | Scopus 1983-2021 |
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