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https://rda.sliit.lk/handle/123456789/1913
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DC Field | Value | Language |
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dc.contributor.author | GALAGODA, D. Y | - |
dc.contributor.author | AMARASINGHA, N | - |
dc.date.accessioned | 2022-04-06T06:26:49Z | - |
dc.date.available | 2022-04-06T06:26:49Z | - |
dc.date.issued | 2019-12-31 | - |
dc.identifier.issn | 1881-1124 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/1913 | - |
dc.description.abstract | Pavement Roughness can be expressed as the anomalies in a pavement surface, which will affect the ride quality of a vehicle. Roughness can be expressed as International Roughness Index (IRI). In Sri Lanka, fund allocations for road rehabilitation have become a major issue for government authorities. In this research two android applications were used to estimate the road roughness which can be used to collect road condition data cost effectively. The study was performed on 20 national roadway sections in Sri Lanka. The statistical analysis showed linear regression model, R2= 0.754 based on the relationship between estimated and existing IRI values which were obtained from Road Development Authority (RDA) of Sri Lanka. Based on result from the experiment smartphone application can be determined as an alternative that can be used to determine the surface roughness of pavements, as it provides data efficiently and with technical benefits. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Eastern Asia Society for Transportation Studies | en_US |
dc.relation.ispartofseries | Journal of the Eastern Asia Society for Transportation Studies;Vol 13 Pages 2581-2597 | - |
dc.subject | Smartphone Applications. | en_US |
dc.subject | Pavement Roughness | en_US |
dc.subject | Computation | en_US |
dc.subject | Sri Lankan Roadways | en_US |
dc.title | Smartphone Applications for Pavement Roughness Computation of Sri Lankan Roadways | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.11175/easts.13.2581 | en_US |
Appears in Collections: | Research Papers - SLIIT Staff Publications |
Files in This Item:
File | Description | Size | Format | |
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13_2581.pdf | 1.03 MB | Adobe PDF | View/Open |
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