Longitudinal road profile model generation based on measurement data using mathematical approach
This study was conducted to produce road profile model based on vertical displacement data from instrument walking profiler and road scanner that could be implemented in long term pavement performance model for predicting the dynamic loading of the vehicles tyre. Road profiles data was supplied by I...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6502/ http://eprints.uthm.edu.my/6502/1/Longitudinal_Road_Profile_Model_Generation.pdf |
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| Summary: | This study was conducted to produce road profile model based on vertical displacement
data from instrument walking profiler and road scanner that could be implemented in long term
pavement performance model for predicting the dynamic loading of the vehicles tyre. Road profiles
data was supplied by IKRAM Engineering, Malaysia. A vertical distance data from two roads,
approximately 0.8 km of new federal road and 5 km of state road were obtained. The International
Roughness Index (1RI) was used to classfi types of road based on the IRI classification. The IRI for
each sample of road profile was computed using software named ProVal and FOOTWORKs. Road
profile generating process was followed the theory Dodds and Robson and also Hardy and Cebon.
The process was performed using MATLAB software. After generating road profiles, the calibration
between reference and generated road profiles was performed by calculating the corelation
coeffrcient value. The correlation coefficient value ranges between -0.7 to -l and 0.7 to I is
considered to have a similarity each other. As a results, for federal and state road, several models of
road profiles were generated for each sample data. In conclusion, all the road profiles generated will
be able to be used as an ahernative road profile in long term pavement performance analysis. |
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