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Title:

Use of Smartphone to Measure Pavement Roughness Across Multiple Vehicle Types at Different Speeds

Accession Number:

01626226

Record Type:

Component

Abstract:

Measuring pavement roughness has been common practice for transportation agencies for many years now. Normally, this measurement is recorded as International Roughness Index (IRI) and is collected via a data collection vehicle (DCV) using lasers, accelerometers, and distance measuring devices. Unfortunately, this practice is cost-prohibitive to conduct on an annual basis. However, recent studies have examined the use of low-cost equipment, such as smartphones, to capture the same data and then analyze that data with in-house software. One of the primary goals with this new method is to engineer the capability to crowd source roadway roughness data collection. This would allow asset managers to have current, and potentially real-time, roughness data from which strategic decisions can be made. The challenge with this transition is to correlate roughness data collected from different sized vehicles, going different speeds, and operating in different environments to the standard “golden car” model as used in standard IRI measurements. This study builds off of previous work whereby a smartphone app was used to collect roughness data and then analyzed via an in-house MATLAB program to produce accurate IRI measurements. That same smartphone app and in-house software was used to analyze data collected from different sized vehicles travelling at different speeds. These measurements were then compared to an official IRI measurement collected just a few months prior. The results demonstrate clear sensitivity to those parameters, thereby opening the door for calibration of the software to account for these variables arising from data crowd sourcing.

Supplemental Notes:

This paper was sponsored by TRB committee AFD90 Standing Committee on Pavement Surface Properties and Vehicle Interaction.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05717

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Stribling, John W
Buttlar, William G
Islam, Shahidul
Vavrik, William R

Pagination:

14p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; Photos; References; Tables

Subject Areas:

Highways; Pavements

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05717

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:17PM