|
" Development of a smartphone application to measure pavement roughness and to identify surface irregularities "
Md Shahidul Islam
Buttlar, William G.
| Document Type
|
:
|
Latin Dissertation
|
| Language of Document
|
:
|
English
|
| Record Number
|
:
|
804084
|
| Doc. No
|
:
|
TL48898
|
| Call number
|
:
|
1816953033; 10151820
|
| Main Entry
|
:
|
Ahmed, Amer F.
|
| Title & Author
|
:
|
Development of a smartphone application to measure pavement roughness and to identify surface irregularities\ Md Shahidul IslamButtlar, William G.
|
| College
|
:
|
University of Illinois at Urbana-Champaign
|
| Date
|
:
|
2015
|
| Degree
|
:
|
Ph.D.
|
| field of study
|
:
|
Civil and Environmental Eng
|
| student score
|
:
|
2015
|
| Page No
|
:
|
171
|
| Note
|
:
|
Committee members: Roesler, Jeffery R.; Vavrik, William R.; Work, Daniel B.
|
| Note
|
:
|
Place of publication: United States, Ann Arbor; ISBN=978-1-369-06523-7
|
| Abstract
|
:
|
Pavement roughness is an expression of the unevenness or disturbance in a pavement surface that adversely affects the ride quality of a vehicle. Roughness also affects user delay costs, fuel consumption, tire, and maintenance costs. Roughness is predominantly characterized in terms of International Roughness Index (IRI), which is often measured using inertial profilers. Inertial profilers are equipped with sensitive accelerometers, a height measuring laser, a distance measuring instrument, etc., to measure pavement profile. Modern smartphones are equipped with a number of sensors including a three-axis accelerometer, which has been utilized in this project to collect vehicle acceleration data using an android-based smartphone application. Two data analysis schemes have been developed to determine pavement profile from vehicle vertical acceleration data: a double integration and an inverse state space model. Acceleration data was double-integrated numerically to obtain a surrogate estimate of pavement profile based on the calculated vertical position of the vehicle cab. After noting a fairly significant underprediction of IRI for rough pavement sections with the double integration method, due in part to the dampening effects of the vehicle suspension, an inverse state space model was developed. This model enhances the double integration procedure by considering the physics of the mass-spring-damper system of the vehicle sprung mass as part of the back-estimation of road profile from vehicle cab acceleration. In addition, MATLAB and C# scripts were developed to estimate IRI from the pavement profile, using the procedure specified by ASTM.
|
| Subject
|
:
|
Civil engineering; Transportation planning
|
| Descriptor
|
:
|
Social sciences;Applied sciences;Cost;International Roughness Index;Pavement;Roughness;Smartphone application;User
|
| Added Entry
|
:
|
Buttlar, William G.
|
| Added Entry
|
:
|
Civil and Environmental EngUniversity of Illinois at Urbana-Champaign
|
| |