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Effectiveness of traffic forecasting on pavement designs in Sri Lankan roads

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dc.contributor.author Gunasinghe, PH
dc.contributor.author Mampearachchi, WK
dc.contributor.editor Pasindu, HR
dc.date.accessioned 2022-06-11T06:55:49Z
dc.date.available 2022-06-11T06:55:49Z
dc.date.issued 2010
dc.identifier.citation Gunasinghe, P.H., & Mampearachchi, W.K. (2012). Effectiveness of traffic forecasting on pavement designs in Sri Lankan roads [Abstract]. In H.R. Pasindu (Ed.), Proceedings of the Transportation Research Forum 2010 (pp. 19-20). Department of Civil Engineering, University of Moratuwa. https://uom.lk/sites/default/files/civil/files/TRF%202010_1.pdfctiveness of traffic forecasting on pavement designs in Sri Lankan roads en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18273
dc.description.abstract Since the pavement design plays an important role in any improvement or rehabilitation, it is a responsibility of the road design Engineer to ensure that he has come up with an effective design, so that it will last for the design life. This effectiveness or the optimization is very important as otherwise it could lead to financial implications. If it is under design, it will not last till the end of design life, thereby incurring huge sum of money for the early rehabilitation and maintenance. And if it is over designed, that would also be undesirable fact, as the cost over run on this could have been utilized to improve another few kilometers of road. The method adopted for the design of selected flexible pavements was the TRL, Road Note 31. The two main parameters considered in the design of the pavements under Road Note 31 are CNSA (i.e. Traffic Class) and the sub-grade strength (i.e. CBR% class). In this research study, flexible pavement designs of recently rehabilitated or improved set of roads were analyzed to check the effectiveness of the traffic forecasting on pavement design. As the sub-grade strength of the pavements is a fixed parameter in all the cases, the only possible variable is the Traffic Class relevant to predicted CNSA. It was found in the study that the actual traffic growth rates of different modes of traffic which travels along the selected roads is different to the predicted rates at the time of design. It has also been shown and statistically proved that the ESA values actually applied on these pavements by large trucks / heavy goods vehicles are significantly high, compared to the ESA values recorded at the design stage. Authors have proposed a methodology to evaluate the effectiveness of traffic forecasting on pavement designs. And improvements to the present practice of pavement designs carried out by RDA and its presentation. en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering, University of Moratuwa. en_US
dc.relation.uri https://uom.lk/sites/default/files/civil/files/TRF%202010_1.pdf en_US
dc.subject TRL – Transport Research Laboratory en_US
dc.subject CNSA – Cumulative Number of Standard Axles en_US
dc.subject CBR – California Bearing Ratio en_US
dc.subject ESA – Equivalent Standard Axles en_US
dc.subject RDA – Road Development Authority en_US
dc.title Effectiveness of traffic forecasting on pavement designs in Sri Lankan roads en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2010 en_US
dc.identifier.conference Transport Research Forum 2010 en_US
dc.identifier.pgnos pp. 19-20 en_US
dc.identifier.proceeding Proceedings of the Transport Research Forum 2010 en_US
dc.identifier.email wasanthak@uom.lk en_US


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