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  • 标题:A motorcycle’s analytical model describing the highside fall in panic situations
  • 本地全文:下载
  • 作者:Andrea Bonci ; Riccardo De Amicis ; Sauro Longhi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:15616-15621
  • DOI:10.1016/j.ifacol.2017.08.1896
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractStarting from the analytical approach of the motorcycle dynamic modelling, this paper proposes a further improvement concerning the analytical treatment of the slippages in order to simulate the highside fall. The model represents the first attempt proposed in literature to address analitically the highside phenomenon whose complex dynamics normally requires the use of multibody software. The complex dynamics of the vehicle in curve, where critical situations may occur, has been characterized by introducing the interactions between the friction forces described by the well known Magic Formula. The proposed model has allowed to simulate the highside phenomenon that is triggered in excessive braking condition by a panicked rider releasing the brake too quickly in an attempt to correct the trajectory in curve. The simulation results show that the highside is well captured, moreover they are in good agreement with similar results obtained by using multibody software. The model is set to become a viable tool for the analysis and the synthesis of motorcycle’s safety devices preventing dangerous falls.
  • 关键词:KeywordsModelingsimulation of transportation systemsSimulationSafetyIntelligent transportation systems
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