Research Article
Sep 1981
Baysian Updating of Trip Generation Parameters
Publication: Transportation Engineering Journal of ASCE
Volume 107, Issue 5
Abstract
The use of borrowed models from similar urban areas is one way of reducing the costs associated with conducting full-scale travel surveys. However, in order to tune borrowed models to reflect the local conditions of the study area, these models can be updated using low-cost information (objective or subjective) from the study area. A method based on Bayesian statistics for updating cross-classified household trip generation rates is presented. Some updating techniques are briefly reviewed. Previous applications of Bayesian statistics in the transportation field are also discussed; a methodology for their use to update cross-classified trip rates is presented along with sample application.
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Published In
Transportation Engineering Journal of ASCE
Volume 107 • Issue 5 • September 1981
Pages: 581 - 589
Copyright
© 1981 American Society of Civil Engineers.
History
Published in print: Sep 1981
Published online: Feb 5, 2021
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Authors
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Hani S. Mahmassani
Research Asst., Massachusetts Inst. of Technology, Cambridge, Mass. 02139
Kumares C. Sinha, M.ASCE
Prof. of Civ. Engrg., Purdue Univ., W. Lafayette, Ind. 47906
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Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.