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Development of speed prediction model for horizontal curves under mixed traffic conditions

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dc.contributor.author Sil, G
dc.contributor.author Maji, A
dc.contributor.editor Pasindu, HR
dc.date.accessioned 2022-09-13T09:43:31Z
dc.date.available 2022-09-13T09:43:31Z
dc.date.issued 2017-07
dc.identifier.citation ....********....... en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19075
dc.description.abstract Speed is one of the well-known causes for crash. Radius of horizontal curve significantly affects vehicle speed. Drivers unable to manage speed within a curve can get into accident. The fatal crash rate in horizontal curve is higher than the straight section. Therefore, safety at horizontal curve is considered as serious matter of concern. Traditionally, safety is analysed by speed differentials. The differences in operating speed between successive highway elements can be used as a measure to evaluate geometric design consistency and safety. Researchers have studied homogeneous traffic with strong lane discipline to predict vehicle operating speed in two lane highways. However, Indian traffic operates differently than the one in western countries due to wide variation in vehicle’s operating and performance characteristics, and weak lane discipline. However, in India studies to predict operating speed model for four lane divided road is limited. It motivated authors to develop operating speed prediction model for four lane divided highway. In this study, car speed data at the center of seven horizontal curves in a four-lane divided highway have been collected. The 85lh percentile speeds at five sites are analysed to develop a linear speed prediction model for car. The developed model depends on curve radius and is validated at two different sites. Results show that I-value is lesser than 0.2, which confirms the applicability ofthe developed model.
dc.language.iso en en_US
dc.publisher Department of Civil Engineering en_US
dc.subject Car speed en_US
dc.subject Horizontal curve en_US
dc.subject Speed prediction model en_US
dc.subject Weak lane discipline en_US
dc.subject mixed traffic flow en_US
dc.title Development of speed prediction model for horizontal curves under mixed traffic conditions 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 2017 en_US
dc.identifier.conference International conference on Advances in Highway Engineering & Transportation Systems en_US
dc.identifier.place Negombo en_US
dc.identifier.pgnos p. 15 en_US
dc.identifier.proceeding Proceedings of Advances in Highway Engineering & Transportation Systems 2017 en_US


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