Developing a truck rollover risk calculator for south africa

dc.contributor.authorFerreira, A.
dc.contributor.authorDe saxe, C.
dc.contributor.authorSteenkamp, A.
dc.contributor.authorNordengen, J.
dc.date.accessioned2022-09-29T20:05:31Z
dc.date.available2022-09-29T20:05:31Z
dc.date.issued2022
dc.descriptionPapers presented at the 40th International Southern African Transport Conference on 04 -08 July 2022
dc.description.abstractThe Static Rollover Threshold (SRT) is an important metric for characterising a heavy vehicle’s inherent stability and risk of rollover. Current methods of assessing SRT include a tilt-table test and multi-body dynamics simulation which can be costly, time-consuming and often require significant technical expertise or technical vehicle data not normally accessible to the public. Simplified calculation methods exist, but a remaining challenge exists to reduce the required level of user expertise and input data to make the assessment useable by, for example, fleet insurers who would have an interest in SRT information. In this paper we investigate the use of simplified calculations prescribed by the New Zealand Land Transport Rule (NZLTR) and UNECE 111 as the basis for the development of a user-friendly SRT calculator. The calculation results were validated against a multi-body dynamics model using TruckSIM for the case of a rigid truck for a range of vehicle suspension and mass properties. The NZLTR and ‘interpolated’ UNECE 111 methods resulted in the smallest errors compared with TruckSIM, averaging 6-7% in absolute error over the 16 scenarios assessed. Maximum errors occurred when the ratio between drive axle and steer axle roll stiffness was at its highest (at a ratio of 4.7:1). The UNECE 111 method was then used as the basis for a Python-based SRT calculator tool. The tool demonstrates how pre-loaded technical vehicle data and logic can be used to minimise the required user expertise and hence make SRT calculation feasible by nontechnical users in the fleet insurance industry in South Africa.
dc.format.extent13 pages
dc.format.mediumPDF
dc.identifier.urihttps://repository.up.ac.za/handle/2263/87372
dc.language.isoen
dc.publisherSouthern African Transport Conference
dc.rights©2022 Southern African Transport Conference
dc.subjectStatic Rollover Threshold (SRT)
dc.subjectHeavy goods vehicles
dc.subjectTruck rollover
dc.titleDeveloping a truck rollover risk calculator for south africa
dc.typeArticle

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