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  • 标题:Macroscopic Traffic Flow Control via State Estimation
  • 本地全文:下载
  • 作者:H. Abouaïssa ; H. Majid
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2015
  • 卷号:15
  • 期号:5
  • DOI:10.1515/cait-2015-0013
  • 出版社:Bulgarian Academy of Science
  • 摘要:The studies presented in this paper deal with traffic control in case of missing data and/or when the loop detectors are faulty. We show that the traffic state estimation plays an important role in traffic prediction and control. Two approaches are presented for the estimation of the main traffic variables (traffic density and mean speed). The state constructors obtained are then used for traffic flow control. Several numerical simulations show very promising results for both traffic state estimation and control.
  • 关键词:Macroscopic model; estimation; freeway traffic control; sliding mode; ; algebraic method; differential flatness
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