ResearchSpace

Developing a truck rollover risk calculator for South Africa

Show simple item record

dc.contributor.author Ferreira, A
dc.contributor.author De Saxe, C
dc.contributor.author Steenkamp, Anton J
dc.contributor.author Nordengen, P
dc.date.accessioned 2022-10-17T07:34:03Z
dc.date.available 2022-10-17T07:34:03Z
dc.date.issued 2022-07
dc.identifier.citation Ferreira, A., De Saxe, C., Steenkamp, A.J. & Nordengen, P. 2022. Developing a truck rollover risk calculator for South Africa. http://hdl.handle.net/10204/12505 . en_ZA
dc.identifier.uri http://hdl.handle.net/10204/12505
dc.description.abstract The 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 non-technical users in the fleet insurance industry in South Africa. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://irfnet.ch/wp-content/uploads/2022/06/FINAL-ANNOUNCEMENT-BROCHURE-AND-PROGRAMME_FINAL.pdf en_US
dc.source South African Transport Conference 2022 (SATC), Pretoria, South Africa, 4-7 July 2022 en_US
dc.subject Static Rollover Threshold en_US
dc.subject SRT en_US
dc.subject Heavy goods vehicles en_US
dc.subject Truck rollover en_US
dc.subject UNECE 111 en_US
dc.subject New Zealand Land Transport Rule en_US
dc.subject NZLTR en_US
dc.title Developing a truck rollover risk calculator for South Africa en_US
dc.type Conference Presentation en_US
dc.description.pages 13 en_US
dc.description.note Paper delivered at the South African Transport Conference 2022 (SATC), Pretoria, South Africa, 4-7 July 2022 en_US
dc.description.cluster Smart Mobility en_US
dc.description.impactarea Trans Network Asset Man Sys en_US
dc.identifier.apacitation Ferreira, A., De Saxe, C., Steenkamp, A. J., & Nordengen, P. (2022). Developing a truck rollover risk calculator for South Africa. http://hdl.handle.net/10204/12505 en_ZA
dc.identifier.chicagocitation Ferreira, A, C De Saxe, Anton J Steenkamp, and P Nordengen. "Developing a truck rollover risk calculator for South Africa." <i>South African Transport Conference 2022 (SATC), Pretoria, South Africa, 4-7 July 2022</i> (2022): http://hdl.handle.net/10204/12505 en_ZA
dc.identifier.vancouvercitation Ferreira A, De Saxe C, Steenkamp AJ, Nordengen P, Developing a truck rollover risk calculator for South Africa; 2022. http://hdl.handle.net/10204/12505 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ferreira, A AU - De Saxe, C AU - Steenkamp, Anton J AU - Nordengen, P AB - The 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 non-technical users in the fleet insurance industry in South Africa. DA - 2022-07 DB - ResearchSpace DP - CSIR J1 - South African Transport Conference 2022 (SATC), Pretoria, South Africa, 4-7 July 2022 KW - Static Rollover Threshold KW - SRT KW - Heavy goods vehicles KW - Truck rollover KW - UNECE 111 KW - New Zealand Land Transport Rule KW - NZLTR LK - https://researchspace.csir.co.za PY - 2022 T1 - Developing a truck rollover risk calculator for South Africa TI - Developing a truck rollover risk calculator for South Africa UR - http://hdl.handle.net/10204/12505 ER - en_ZA
dc.identifier.worklist 36821 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record