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  • 标题:Cooperative Ramp Merging for Mixed Traffic with Connected Automated Vehicles and Human-Operated Vehicles
  • 本地全文:下载
  • 作者:Tianyu Huang ; Zhanbo Sun
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:24
  • 页码:76-81
  • DOI:10.1016/j.ifacol.2019.12.384
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The rapid theoretical development and commercialization of connected automated vehicle (CAV) has led to the problem of mixed traffic, i.e., traffic mixed with CAVs and conventional human-operated vehicles (HVs). The paper studies cooperative ramp merging for mixed traffic. Using discrete optimization, a cooperative ramp merging mechanism is developed to facilitate ramp merging, and to properly capture the cooperative and non-cooperative behaviours in mixed traffic. The mechanism can be described as a bi-level optimization program in which the optimal control-based trajectory design problem is imbedded in the merge sequencing problem. A bi-level dynamic programming-based solution approach is developed to efficiently solve the problem. A micro-simulation environment is built for model validation and analysis of mixed traffic. The results show that cooperative ramp merging leads to larger throughput and smoother traffic.
  • 关键词:KeywordsConnected Automated Vehicles (CAVs)cooperative ramp mergingbi-level optimizationdynamic programmingmixed traffic
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