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  • 标题:A Novel Formation Creation Algorithm for Heterogeneous Vehicles in Highway Scenarios: Assessment and Experimental Validation
  • 本地全文:下载
  • 作者:Massimo Zambelli ; Paola Carulli ; Martin Steinberger
  • 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:15300-15305
  • DOI:10.1016/j.ifacol.2020.12.2333
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper a novel algorithm for the on-line creation of formations of heterogeneous vehicles is proposed for highway traffic scenarios. A two-step iterative distributed strategy is formulated which relies on Dynamic Programming and trajectory tracking. Only position measurements and basic communication capabilities for global coordination are required, while scalability is guaranteed by the underlying structure of the algorithm. In addition, spatial and velocity constraints are taken into account. The presented concept forms the basis for more sophisticated formation creation controllers. Results obtained in experiments with automated small-scale trucks show the underlying validity and practical feasibility of the algorithm.
  • 关键词:KeywordsAutonomous VehiclesAutomotive ControlFormation ControlAutomated Highway SystemsDynamic ProgrammingExperimental ValidationSmall-Scale Vehicles
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