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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22058

Title: Investigating the predictive performance of computational process activity-based transportation models
Authors: Sammour, George
Vanhoof, Koen
Bellemans, Tom
Janssens, Davy
Wets, Geert
Issue Date: 2016
Publisher: TAYLOR & FRANCIS LTD
Citation: TRANSPORTATION PLANNING AND TECHNOLOGY, 39(6), p. 551-573
Abstract: The aim of this paper is to achieve a better understanding of computational process activity-based models, by identifying factors that influence the predictive performance of A Learning-based Transportation Oriented Simulation System model. Therefore, the work activity process model, which includes six decision steps, is investigated. The manner of execution in the process model contains two features, activation dependency and attribute interdependence. Activation dependency branches the execution of the simulation while attribute interdependence involves the inclusion of the decision outcome of a decision step as an attribute to subsequent decision steps. The model is experimented with by running the simulation in four settings. The performance of the models is assessed at three validation levels: the classifier or decision step level, the activity pattern sequence level and the origin-destination matrix level. The results of the validation analysis reveal more understanding of the model. Benchmarks and factors affecting the predictive performance of computational activity-based models are identified.
Notes: [Sammour, George] Princess Sumaya Univ Technol, King Talal Fac Business & Technol, Management Informat Syst Dept, Al Jubaiha, Jordan. [Vanhoof, Koen; Bellemans, Tom; Janssens, Davy; Wets, Geert] Hasselt Univ, Transportat Res Inst IMOB, Fac Appl Econ, Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/22058
DOI: 10.1080/03081060.2016.1187807
ISI #: 000379830200001
ISSN: 0308-1060
Category: A1
Type: Journal Contribution
Validation: ecoom, 2017
Appears in Collections: Research publications

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