文章基本信息

标题：Performance Analysis of Model Predictive Intersection Control for Autonomous Vehicles ⁎
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作者：András Mihály ; Zsófia Farkas ; Bede Zsuzsanna 等
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