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An approach to evaluate horizontal alignment of highways using curvature index and operating vehicle speed

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dc.contributor.author Rajapaksha, RPGKS
dc.contributor.author Bandara, JMSJ
dc.contributor.editor Pasindu, HR
dc.date.accessioned 2022-06-09T05:28:50Z
dc.date.available 2022-06-09T05:28:50Z
dc.date.issued 2011-07
dc.identifier.citation Rajapaksha, R.P.G.K.S., & Bandara, J.M.S.J. (2011). An approach to evaluate horizontal alignment of highways using curvature index and operating vehicle speed [Abstract]. In H.R. Pasindu (Ed.), Proceedings of the Transportation Research Forum 2011 (p. 25). Department of Civil Engineering, University of Moratuwa. https://uom.lk/sites/default/files/civil/files/TRF%202011_0.pdf en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18218
dc.description.abstract In recent years, Sri Lanka has experienced an urban traffic congestion that caused a waste of time and energy. It is known that road geometries partly contribute towards decrease in operating vehicle speed. According to conventional Highway Geometric design procedure there is no accurate method to predict operating vehicle speed with different combinations of horizontal alignment (variation of bends with respect to different curvatures). This study explores a methodology to evaluate the actual horizontal alignment of roads to increase the efficiency of highway management with respect to reducing travel time. In this paper after classification of all the design elements, the new concept of “curvature Index” (the degree of angle variation per unit length) is introduced to represent actual horizontal alignment of a road segment including number of bends and nature of bends. The curvature index measures analyzed were : bend density (number of bends per km); cumulative angle (degrees per km); mean angle (degrees); and standard deviation of angles. The research confirmed that driver's speed choices are more strongly related to curvature Index than curve design speed, and to the approach speed environment. The curvature index and operating vehicle speed is estimated using the database of GPS (Global Positioning System) receivers. GPS data is collected at selected road segments in Sri Lanka closely representing free flow condition. A methodology is developed to increase the reliability of GPS data obtained in order to investigate the relationship between curvature indexes and operating vehicle speed. Simple linear regression analysis is used to develop operating vehicle speed models, which related driver speed to the curvature Index of the highway. ArcGIS (Geographical Information System) provides a good platform to model relationship between curvature index and operating vehicle speed because the analysis tools in GIS can be directly used to analyze the GPS data. 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%202011_0.pdf en_US
dc.subject Horizontal alignment en_US
dc.subject Curvature index en_US
dc.subject Geographical Information System (GIS) en_US
dc.subject Highway geometry en_US
dc.title An approach to evaluate horizontal alignment of highways using curvature index and operating vehicle speed 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 2011 en_US
dc.identifier.conference Transport Research Forum 2011 en_US
dc.identifier.place Colombo en_US
dc.identifier.pgnos p. 25 en_US
dc.identifier.proceeding Proceedings of the Transport Research Forum 2011 en_US
dc.identifier.email bandara@uom.lk en_US
dc.identifier.email gksrajapaksha@gmail.com en_US
dcterms.subject Global Positioning System (GPS)


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