TY - GEN
T1 - Use of cellphone application to measure pavement roughness
AU - Islam, Shahidul
AU - Buttlar, William G.
AU - Aldunate, Roberto G.
AU - Vavrik, William R.
N1 - Publisher Copyright:
© 2014 American Society of Civil Engineers.
PY - 2014
Y1 - 2014
N2 - Pavement roughness is the surface unevenness which adversely affects ride comfort. Basically, roughness is computed by measuring the vehicle suspension motion. It is expressed by International Roughness Index (IRI) with a unit of inch/mile or m/km. Roughness is very important information to the pavement management group, and maintenance and rehabilitation decisions are usually taken considering IRI and other distress data. Generally, transportation agencies do not collect IRI data annually for the entire roadway network because it requires a significant financial investment. Different types of tools are currently used to measure IRI, but these are either costly or inefficient. Recently, researchers at the Massachusetts Institute of Technology used accelerometers in cellphones to identify localized pavement defects. In the student presented herein it is shown that a smartphone based application shows great potential to capture pavement roughness as characterized by IRI. The IRI of a pavement section can be conveniently measured in a rapid and highly economical manner using this approach. In this study, three 2-mile long test sites were selected, where each having different levels of pavement distresses and roughness. IRI data was collected using an inertial profiler, and vehicle vertical acceleration data was collected using an android-based cellphone mounted on the dashboard of an inertial profiler van. Acceleration data was analyzed to obtain IRI for every 0.1-mile pavement section. Subsequently, acceleration data was collected from the same test sections using a passenger car. Results showed that the IRI estimated by the inertial profiler and cellphone application to be very similar. Results also compared favorably between trials conducted with the profiler van vs. the passenger car. Updated IRI data can be used to arrive at more effective pavement designs, maintenance, and rehabilitations decision making.
AB - Pavement roughness is the surface unevenness which adversely affects ride comfort. Basically, roughness is computed by measuring the vehicle suspension motion. It is expressed by International Roughness Index (IRI) with a unit of inch/mile or m/km. Roughness is very important information to the pavement management group, and maintenance and rehabilitation decisions are usually taken considering IRI and other distress data. Generally, transportation agencies do not collect IRI data annually for the entire roadway network because it requires a significant financial investment. Different types of tools are currently used to measure IRI, but these are either costly or inefficient. Recently, researchers at the Massachusetts Institute of Technology used accelerometers in cellphones to identify localized pavement defects. In the student presented herein it is shown that a smartphone based application shows great potential to capture pavement roughness as characterized by IRI. The IRI of a pavement section can be conveniently measured in a rapid and highly economical manner using this approach. In this study, three 2-mile long test sites were selected, where each having different levels of pavement distresses and roughness. IRI data was collected using an inertial profiler, and vehicle vertical acceleration data was collected using an android-based cellphone mounted on the dashboard of an inertial profiler van. Acceleration data was analyzed to obtain IRI for every 0.1-mile pavement section. Subsequently, acceleration data was collected from the same test sections using a passenger car. Results showed that the IRI estimated by the inertial profiler and cellphone application to be very similar. Results also compared favorably between trials conducted with the profiler van vs. the passenger car. Updated IRI data can be used to arrive at more effective pavement designs, maintenance, and rehabilitations decision making.
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U2 - 10.1061/9780784413586.053
DO - 10.1061/9780784413586.053
M3 - Conference contribution
AN - SCOPUS:84933558277
T3 - T and DI Congress 2014: Planes, Trains, and Automobiles - Proceedings of the 2nd Transportation and Development Institute Congress
SP - 553
EP - 563
BT - T and DI Congress 2014
A2 - Varma, Amiy
A2 - Gosling, Geoffrey D.
PB - American Society of Civil Engineers
T2 - 2nd Transportation and Development Institute Congress - Planes, Trains, and Automobiles: Connections to Future Developments, T and DI 2014
Y2 - 8 June 2014 through 11 June 2014
ER -