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An Approximation of Studded Tire Vehicle Volumes Utilizing Sound Data

Citation

Alhasyah , Meeloud Atif. (2021-12). An Approximation of Studded Tire Vehicle Volumes Utilizing Sound Data. Theses and Dissertations Collection, University of Idaho Library Digital Collections. https://www.lib.uidaho.edu/digital/etd/items/alhasyah_idaho_0089n_12262.html

Title:
An Approximation of Studded Tire Vehicle Volumes Utilizing Sound Data
Author:
Alhasyah , Meeloud Atif
ORCID:
0000-0003-3717-8542
Date:
2021-12
Keywords:
Sound Studded Tire Decibels Studded Tires Volume Collection
Program:
Civil Engineering
Subject Category:
Civil engineering; Transportation
Abstract:

The purpose of this study was to determine if sound could be used as a defining parameter to distinguish vehicles using studded tires from all other vehicle types. Vehicle sound data were collected using a sound meter device during the winter and summer seasons along a two-lane rural highway (State Highway 8) and a divided multi-lane highway (US-95) near Moscow, Idaho. The study examined variables including vehicle type, season, travel lane, and highway type. Based on the results, the study concluded that while vehicles with studded tires generated a higher decibel range that most passenger vehicles without studded tires, the range could not be differentiated from many pick-up trucks and semi-trucks with louder engine noises. While the results suggest that data collection methods using sound would require a secondary source such as video or a field observer in order to definitively identify vehicles with studded tires, an approximation method based on estimating the number of vehicles and the percentage of vehicles with studded tires produced results that were comparable to previously established methods.

Description:
masters, M.S., Civil Engineering -- University of Idaho - College of Graduate Studies, 2021-12
Major Professor:
Chang, Kevin
Committee:
Williams, Christopher ; Abdel-Rahim, Ahmed ; Fiedler, Fritz
Defense Date:
2021-12
Identifier:
Alhasyah_idaho_0089N_12262
Type:
Text
Format Original:
PDF
Format:
application/pdf

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