Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2908
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBeura, Sambit Kumar-
dc.contributor.authorBhuyan, Prasanta Kumar-
dc.date.accessioned2018-02-05T07:06:35Z-
dc.date.available2018-02-05T07:06:35Z-
dc.date.issued2018-01-
dc.identifier.citationTransportation Research Board (TRB) 97th Annual Meeting, Washington, D.C., USA, 7 – 11 January, 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/2908-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractThis paper deals with the development of bicycle level of service (BLOS) models for urban road links and signalized intersections carrying heterogeneous traffic. For analyses purposes, required data are collected from 74 links and 70 intersection approaches by means of extensive field investigations, video recordings, and perception surveys. Total 22,320 on-site bicyclists have rated the studied sites based on their perceived satisfaction levels (1 = excellent and 6 = worst). These ratings were used as the array of dependent variable in the BLOS model development process. A novel technique namely, multi-gene genetic programming (MGGP) was used to develop the BLOS models for urban road links and signalized intersection approaches. The link model included eight significant variables whereas the intersection model included seven variables. Both models produced reliable prediction performances in the present context with coefficient of determination (R2) values of above 0.87. It was observed that traffic volume and crossing pedestrians have the highest influences on BLOSs of urban road links and signalized intersections respectively.en_US
dc.subjectRoadway linken_US
dc.subjectSignalized intersectionen_US
dc.subjectMixed trafficen_US
dc.subjectBicycle level of serviceen_US
dc.subjectMulti-gene genetic programmingen_US
dc.titleQuality Of Bicycle Traffic Management at Urban Road Links and Signalized Intersections under Mixed Traffic Conditionsen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2018_TRB_SKBeura_Quality.pdfConference Paper451.73 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.