首页    期刊浏览 2024年11月08日 星期五
登录注册

文章基本信息

  • 标题:Performance Analysis of Model Predictive Intersection Control for Autonomous Vehicles ⁎
  • 本地全文:下载
  • 作者:András Mihály ; Zsófia Farkas ; Bede Zsuzsanna
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:2
  • 页码:240-245
  • DOI:10.1016/j.ifacol.2021.06.029
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper focuses on the control challenge of intersections related to the appearance of autonomous vehicles on the roads, which established mixed traffic situations with human-driven vehicles or scenarios with only autonomous vehicles. The goal of the research is to control autonomous vehicles by Model Predictive Control method to guarantee the collision-free passage at the intersection. Generally the outcome of a traffic situation can be varied by human-driven vehicles and fully automated vehicles. Therefore the results of the proposed coordination method used for a given intersection scenario is compared to solution of human-driven vehicles. For the comparison the simulation examples were made in VISSIM and CarSim simulation environments.
  • 关键词:Keywordsintersection controloptimizationmodel predictive controlautonomous vehicle control
国家哲学社会科学文献中心版权所有