A Cost Effective Method for Pavement Roughness Computation

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dc.contributor.author Galagoda, D.Y.
dc.contributor.author Amarasingha, N.
dc.date.accessioned 2019-04-06T08:29:18Z
dc.date.available 2019-04-06T08:29:18Z
dc.date.issued 2019-02
dc.identifier.isbn 9789550481255
dc.identifier.uri http://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/133/94.pdf?sequence=1&isAllowed=y
dc.description.abstract Pavement Roughness can be expressed as the anomalies in a pavement surface, which will affect the ride quality of a vehicle and the vehicle delay costs, fuel expenditure and tires and other expenses. Roughness can be expressed as International Roughness Index (IRI). Sri Lanka as a developing country lack of fund allocations has become a major issue for government authorities. Therefore, it is very important to have a proper database for proper planning of road networks. As the number of smartphone users is increasing, applications using smartphone sensors are also developing. In this research android applications were used to estimation of road roughness which can be used to collect road condition data cost effectively. Smartphones were attached to the front windshield of a test vehicle horizontally/landscape mode and standing vertically from road. Data collection was done by selecting the "Start/stop sampling" option in 'AndroSensor' and 'Roadroid' android applications by selecting video, photo or non –video mode with the defined route, maintaining 80km/hr speed. The study was done on 20 national roadway sections in Sri Lanka. The statistical analysis showed the percentage of similarity of the results of the measurement of evenness of pavement roads; between two smartphone application is 97.8% and linear regression model (R2= 0.754) based on the relationship between estimated IRI values and existing IRI values evaluated using laser profiler which were obtained from Road Development Authority. Based on result from the experiment, smartphone application can be determined as an equipment 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 Uva Wellassa University of Sri Lanka en_US
dc.subject Computer Science en_US
dc.subject Information Science en_US
dc.subject Computing and Information Science en_US
dc.title A Cost Effective Method for Pavement Roughness Computation en_US
dc.title.alternative International Research Conference 2019 en_US
dc.type Other en_US

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