MPC Research Reports
Report Details

Title:	Incorporating Tourism Data in Traffic Estimation on Wyoming Low-Volume Roads
Authors:	Er Yue and Khaled Ksaibati
University:	University of Wyoming
Publication Date:	Dec 2020
Report #:	MPC-20-424
Project #:	MPC-572
TRID #:	01764832
Keywords:	low volume roads, tourism, traffic estimation, traffic volume, travel demand

Abstract

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. This study incorporated tourism-related data into the TDM and developed methods to estimate traffic volume on low-volume roads in Wyoming. The new tourism-based model shared many features with the previously developed model, including geography, traffic analysis zone structure, and networks. The newly developed model was then verified by comparing actual traffic volumes to those predicted by the model. The model implementation required several data inputs, including Wyoming local road network and tourism data. The output results were in the form of geographic data, indicating the various roads and their traffic volumes. This document describes the various data utilized and produced in the model. It also explains how to interpret the traffic volume data from the output map. State departments of transportation, local transportation administrators along with other stakeholders concerned with transportation planning are among the audiences interested in this report.

How to Cite

Yue, Er, and Khaled Ksaibati. Incorporating Tourism Data in Traffic Estimation on Wyoming Low-Volume Roads, MPC-20-424. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2020.