University of Wyoming ow-volume roads connect between rural areas and markets, and they
are crucial parts of transportation systems. However, traffic volume estimation on low-volume …

The majority of the world's road network is made up of low-class/low-volume roads. Most of
these roads are omitted from asset management and preventative maintenance programs …

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 …

Traffic volume data is one of most important information for decision-makings related to
planning, design, management, operation, and control of transportation system. Often, traffic …

This report explains the various data inputs and outputs associated with the travel demand
model (TDM) developed for estimating traffic volumes on low-volume roads in Wyoming …

Traffic volume is an important parameter in most transportation planning applications. Low
volume roads make up about 69% of road miles in the United States. Estimating traffic on the …

Low-volume roads are excluded from regular traffic counts except on a need to know basis.
But needs for traffic volume data on low-volume roads in road infrastructure management …

Estimating traffic volumes in a cost effective and efficient manner on low volume roads is
important due to high costs associated with carrying out extensive traffic counts on high …

Traffic count data are useful for many purposes, but often not available for significant
portions of road networks. It would be prohibitive to cover all roads with traditional sensor …

Forecasting traffic volumes to support infrastructure decisions is the heart of the travel
demand modeling process. The most commonly used methodology for obtaining these …