Manjriker Gunaratne

Affiliations: 
University of South Florida, Tampa, FL, United States 
Area:
Civil Engineering, Computer Science
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"Manjriker Gunaratne"
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Publications

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De Pernia YM, Metz J, Gunaratne M, et al. (2016) Application of image analysis techniques to develop a quality control tool for automated optimum binder content determination of open-graded friction course mixtures Transportation Research Record. 2575: 48-60
Mejias de Pernia Y, Gunaratne M. (2016) Application of perceptual image coding and the neural network method in predicting the optimum Asphalt binder content of open-graded friction course mixtures Road Materials and Pavement Design. 1-26
Jayasooriya W, Gunaratne M. (2014) Evaluation of widely used hydroplaning risk prediction methods using Florida's past crash data Transportation Research Record. 2457: 140-150
Yassin M, Jayasooriya W, Gunaratne M. (2013) Assessment of the Reliability of Predicting Hydroplaning Risk Based on Past Hydroplaning Accident Data on the Florida Interstate System Transportation Research Record. 2369: 104-113
Fuentes L, Gunaratne M, De León Izeppi E, et al. (2012) Determination of pavement macrotexture limit for use in international friction index model Transportation Research Record. 138-143
Amarasiri S, Gunaratne M, Sarkar S. (2012) Use of Digital Image Modeling for Evaluation of Concrete Pavement Macrotexture and Wear Journal of Transportation Engineering. 138: 589-602
Fuentes L, Gunaratne M. (2011) Revised methodology for computing international friction index Transportation Research Record. 129-137
Fuentes LG, Gunaratne M. (2010) Evaluation of the speed constant and its effect on the calibration of friction-measuring devices Transportation Research Record. 134-144
Amarasiri S, Gunaratne M, Sarkar S, et al. (2010) Optical texture-based tools for monitoring pavement surface wear and cracks using digital images Transportation Research Record. 130-140
Rajapakshe MP, Gunaratne M, Kaw AK. (2010) Evaluation of LuGre tire friction model with measured data on multiple pavement surfaces Tire Science and Technology. 38: 213-227
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