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Heavy vehicle safety performance

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dc.contributor.author Deiss, J
dc.contributor.author Kienhöfer, F
dc.contributor.author Nordengen, Paul A
dc.contributor.author De Saxe, Christopher C
dc.contributor.author Berman, Robert J
dc.contributor.author Steenkamp, Anton J
dc.date.accessioned 2019-01-16T11:15:22Z
dc.date.available 2019-01-16T11:15:22Z
dc.date.issued 2018-10
dc.identifier.citation Deiss, J. et al. 2018. Heavy vehicle safety performance. 15th International Symposium on Heavy Vehicle Transport Technology (HVTT15), Rotterdam, 2 -5 October 2018 en_US
dc.identifier.uri http://road-transport-technology.org//Proceedings/HVTT%2015//Deiss%20-%20HEAVY%20VEHICLE%20SAFETY%20PERFORMANCE.pdf
dc.identifier.uri http://www.hvtt15.com/
dc.identifier.uri http://hdl.handle.net/10204/10615
dc.description Paper presented at the 15th International Symposium on Heavy Vehicle Transport Technology (HVTT15), Rotterdam, 2 -5 October 2018 en_US
dc.description.abstract Significant benefits have been realised in South Africa from adopting the PBS framework in the form of reduced fuel consumption, CO2 emissions, road wear, trips and crashes. Three representative baseline PBS vehicles were developed (a quad-axle semitrailer, tri-axle interlink and rigid drawbar combination) and a set of ranges within which each vehicle design parameter (VDP) could be varied was developed. Each VDP for each baseline combination was varied in isolation to determine its effect on the vehicles PBS performance. The degree to which each VDP affected each performance measure in relation to each other is presented in a matrix for each of the baseline vehicles. The matrices indicate that the geometrical and inertial properties of the vehicle dominate vehicle performance and should be optimised before looking at suspension and tyre properties. The matrices yield insight into which VDPs have the most influence on each performance measure as well as which VDPs can be conservatively estimated in the absence of OEM data without significantly degrading the simulated vehicle performance. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Worklist;21827
dc.subject High productivity vehicles en_US
dc.subject Performance based standards en_US
dc.subject Technical research en_US
dc.title Heavy vehicle safety performance en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Deiss, J., Kienhöfer, F., Nordengen, P. A., De Saxe, C. C., Berman, R. J., & Steenkamp, A. J. (2018). Heavy vehicle safety performance. http://hdl.handle.net/10204/10615 en_ZA
dc.identifier.chicagocitation Deiss, J, F Kienhöfer, Paul A Nordengen, Christopher C De Saxe, Robert J Berman, and Anton J Steenkamp. "Heavy vehicle safety performance." (2018): http://hdl.handle.net/10204/10615 en_ZA
dc.identifier.vancouvercitation Deiss J, Kienhöfer F, Nordengen PA, De Saxe CC, Berman RJ, Steenkamp AJ, Heavy vehicle safety performance; 2018. http://hdl.handle.net/10204/10615 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Deiss, J AU - Kienhöfer, F AU - Nordengen, Paul A AU - De Saxe, Christopher C AU - Berman, Robert J AU - Steenkamp, Anton J AB - Significant benefits have been realised in South Africa from adopting the PBS framework in the form of reduced fuel consumption, CO2 emissions, road wear, trips and crashes. Three representative baseline PBS vehicles were developed (a quad-axle semitrailer, tri-axle interlink and rigid drawbar combination) and a set of ranges within which each vehicle design parameter (VDP) could be varied was developed. Each VDP for each baseline combination was varied in isolation to determine its effect on the vehicles PBS performance. The degree to which each VDP affected each performance measure in relation to each other is presented in a matrix for each of the baseline vehicles. The matrices indicate that the geometrical and inertial properties of the vehicle dominate vehicle performance and should be optimised before looking at suspension and tyre properties. The matrices yield insight into which VDPs have the most influence on each performance measure as well as which VDPs can be conservatively estimated in the absence of OEM data without significantly degrading the simulated vehicle performance. DA - 2018-10 DB - ResearchSpace DP - CSIR KW - High productivity vehicles KW - Performance based standards KW - Technical research LK - https://researchspace.csir.co.za PY - 2018 T1 - Heavy vehicle safety performance TI - Heavy vehicle safety performance UR - http://hdl.handle.net/10204/10615 ER - en_ZA


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