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  • 标题:The Effect of Self-Driving Car on Urban Traffic
  • 本地全文:下载
  • 作者:Zaiqiang Ku ; Ting Liao
  • 期刊名称:American Journal of Computational Mathematics
  • 印刷版ISSN:2161-1203
  • 电子版ISSN:2161-1211
  • 出版年度:2017
  • 卷号:07
  • 期号:02
  • 页码:149-156
  • DOI:10.4236/ajcm.2017.72013
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Based on the idea of infinitesimal analysis, we establish the basic model of relation between speed and flow. Since putting a certain amount of self-driving car will affect the average speed of mixed traffic flow, we choose the proportion of self-driving car to be a variable, denoted by k. Based on the least square method, we find two critical values of k that are 38.63% and 68.26%. When k 38.63%, the self-driving cars have a negative influence to the traffic. When 38.63% 68.26%, they have significant improvement to the traffic capacity of the road.
  • 关键词:Self-Driving Car;Least Square Method;Mixing Speed;Traffic Flow
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