Four-step travel demand model implementation for estimating traffic volumes on rural low-volume roads in Wyoming
This study develops a four-step travel demand model for estimating traffic volumes for low-volume roads in Wyoming. The study utilizes urban travel behavior parameters and processes modified to reflect the rural and low-volume nature of Wyoming local roads. The methodology disaggregates readily available census block data to create transportation analysis zones adequate for estimating traffic on low-volume rural roads. After building an initial model, the predicted and actual traffic volumes are compared to develop a calibration factor for adjusting trip rates. The adjusted model is verified by comparing estimated and actual traffic volumes for 100 roads. The R-square value from fitting predicted to actual traffic volumes is determined to be 74% whereas the Percent Root Mean Square Error is found to be 50.3%. The prediction accuracy for the four-step travel demand model is found to be better than a regression model developed in a previous study.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
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Supplemental Notes:
- © 2018 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Apronti, Dick T
- Ksaibati, Khaled
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0000-0002-9241-1792
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 557-571
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Serial:
- Transportation Planning and Technology
- Volume: 41
- Issue Number: 5
- Publisher: Taylor & Francis
- ISSN: 0308-1060
- Serial URL: https://www.tandfonline.com/toc/gtpt20/current
Subject/Index Terms
- TRT Terms: Estimating; Low volume roads; Rural highways; Traffic volume; Travel behavior; Travel demand
- Geographic Terms: Wyoming
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01675674
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 23 2018 9:19AM