Citation

Apronti DT, Ksaibati K. Transp. Plann. Tech. 2018; 41(5): 557-571.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/03081060.2018.1469288

PMID

unavailable

Abstract

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.

Language: en

Keywords

four-step trip-based model; local roads; low-volume roads; Traffic volume estimation; travel demand model; Wyoming