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  • 标题:Onboard Model-based Prediction of Tram Braking Distance ⁎
  • 本地全文:下载
  • 作者:Loi Do ; Ivo Herman ; Zdeněk Hurák
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:15047-15052
  • DOI:10.1016/j.ifacol.2020.12.2006
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we document a design of a computational method for an onboard prediction of a breaking distance for a city rail vehicle—a tram. The method is based on an onboard simulation of tram braking dynamics. Inputs to this simulation are the data from a digital map and the estimated (current) position and speed, which are, in turn, estimated by combining a mathematical model of dynamics of a tram with the measurements from a GNSS/GPS receiver, an accelerometer and the data from a digital map. Experiments with real trams verify the functionality, but reliable identification of the key physical parameters turns out critically important. The proposed method provides the core functionality for a collision avoidance system based on vehicle-to-vehicle (V2V) communication.
  • 关键词:KeywordsAutomatic controloptimizationreal-time operations in transportationSimulationBraking distance predictionRail transportMathematical modelling
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