Open AccessThe Scheduling Technology Development of Multi-AGV System in AI Era
Author(s) -
Dengya Huo,
Yaohua Wu,
Shasha Wu
Publication year - 2020
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 - 10.1088/1742-6596/1575/1/012154
Subject(s) - scheduling (production processes) , computer science , motion planning , distributed computing , automated guided vehicle , dynamic priority scheduling , two level scheduling , engineering , artificial intelligence , computer network , operations management , robot , quality of service
As an important intelligent transportation equipment of logistics, Multi-AGV scheduling is a key problem that restricts the operation efficiency and large-scale expansion of AGV system. This paper analyzes and elaborates three key technologies of AGV scheduling, namely Path Planning, Task Scheduling and Traffic Control Management. The method of Time Window modeling based on physical entity is superior to that based on particle motion. Finally, the trend of AGV scheduling intelligentization is illustrated by combining with the current advanced technology.