Open AccessMulti-vehicle mixed formation driving method based on fuzzy decision
Author(s) -
Peng Guo,
Yiding Hua,
Tong Wang,
Jinfeng Gong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/4/042011
Subject(s) - intersection (aeronautics) , fuzzy logic , queue , joins , position (finance) , computer science , process (computing) , automotive engineering , transport engineering , engineering , artificial intelligence , computer network , finance , economics , programming language , operating system
This paper presents a multi-vehicle driving method based on fuzzy decision. Fuzzy decision-making is used to realize the process of multi vehicle merging to observe how he turns and joins other teams successfully. Establish the multi-vehicle driving fleet model, and initialize its relevant data, mainly including the speed of multi vehicle driving, the distance between vehicles in the multi vehicle driving fleet and the location from the intersection. Establish the model and data of the vehicle to be inserted into the multi vehicle driving team, mainly including its speed, the position of the vehicle to the intersection, and the intersection of the queue jumping is a fixed T-junction, and the whole process of fleet merging is implemented The method proposed in the paper can be applied in practice.