Use of longitudinal roughness data as a tool for effective maintenance management of gravel roads

Show simple item record

dc.contributor.author Mwaipungu, Richard R.
dc.contributor.author Allopi, D.R. (Dhiren)
dc.contributor.other Southern African Transport Conference (30th : 2011 : Pretoria, South Africa)
dc.contributor.other Transportation Research Board of the National Academies (TRB)
dc.contributor.other Minister of Transport, South Africa
dc.date.accessioned 2011-09-26T12:22:25Z
dc.date.available 2011-09-26T12:22:25Z
dc.date.issued 2011-07
dc.description This paper was transferred from the original CD ROM created for this conference. The material was published using Adobe Acrobat 10.1.0 Technology. The original CD ROM was produced by Document Transformation Technologies Postal Address: PO Box 560 Irene 0062 South Africa. Tel.: +27 12 667 2074 Fax: +27 12 667 2766 E-mail: nigel@doctech URL: http://www.doctech.co.za en_US
dc.description.abstract Paper presented at the 30th Annual Southern African Transport Conference 11-14 July 2011 "Africa on the Move", CSIR International Convention Centre, Pretoria, South Africa. en_US
dc.description.abstract This paper attempt to define the use of gravel road longitudinal roughness data as a significant input in Gravel Road Management System (GRMS). The data were collected from three gravel roads constructed using marginal materials in Tanzania. Two of them are in the Kilimanjaro Region and one in the Coastal Region. The rates of longitudinal roughness progression of these gravel roads were recorded using vehicle mounted bump rntegrator (VMBI) at 100 metre intervals. These data were later used to locate road sections w~th roughness at or above IRI 14 mlkm for distress survey. Roughness at or above IRI 14 mlkm is specified by the literature as the min~mum above which the gravel roads will begin to show deep depressions and erosion gulley. The correlation between longitudinal roughness and traffic volume for each road was good, and the minimum and maximum threshold at which maintenance should be triggered was set. Recommendations are made to use classified traffic volume data together with longitudinal roughness data in prioritising gravel road maintenance. en_US
dc.description.sponsorship CD sponsored by TRANSNET en_US
dc.format.extent 10 pages en_US
dc.format.medium PDF en_US
dc.identifier.citation Mwaipungu, RR & Allopi, D 2011, 'The use of longitudinal roughness data as a tool for effective maintenance management of gravel roads.', Paper presented to the 30th Annual Southern African Transport Conference, South Africa, 11-14 July. pp. 55-64 en_US
dc.identifier.isbn 9781920017514
dc.identifier.uri http://hdl.handle.net/2263/17296
dc.language.iso en en_US
dc.publisher Document Transformation Technologies en_US
dc.relation.ispartof SATC 2011
dc.rights University of Pretoria en_US
dc.subject Longitudinal en_US
dc.subject Gravel road en_US
dc.subject Kilimanjaro Region en_US
dc.subject Coastal Region en_US
dc.subject Vehicle mounted bump integrator en_US
dc.subject.lcsh Transportation
dc.subject.lcsh Transportation -- Africa en
dc.subject.lcsh Transportation -- Southern Africa
dc.title Use of longitudinal roughness data as a tool for effective maintenance management of gravel roads en_US
dc.type Presentation en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record