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文章基本信息

  • 标题:Macroscopic Modelling of Predicted Automated Vehicle Emissions
  • 本地全文:下载
  • 作者:Mohammed Obaid ; Arpad Torok
  • 期刊名称:The Baltic Journal of Road and Bridge Engineering
  • 印刷版ISSN:1822-427X
  • 出版年度:2022
  • 卷号:17
  • 期号:1
  • 页码:31-49
  • DOI:10.7250/bjrbe.2022-17.550
  • 语种:English
  • 出版社:Vilnius Gediminas Technical University
  • 摘要:This paper studies the effect of automated vehicle implementation on transport system emission from a macroscopic point of view. The paper considers several scenarios differing in passenger car unit (PCU) and the penetration share percent of automated vehicles in the system using PTV Visum software. The study presents that automated vehicles reduce total emission by both the effect of smooth driving of each automated vehicle independently and the spread of automated vehicles in the network. Furthermore, apart from considering the effect of different PCU values and penetration levels, the developed model takes into account three different types of emissions and seven different vehicle classes.
  • 关键词:automated vehicles;emissions;macroscopic;modelling;passenger car unit;penetration.
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