Self-adaptive traffic control model with Behavior Trees and Reinforcement Learning for AGV in Industry 4.0

2021 ◽  
pp. 1-1
Author(s):  
Hao Hu ◽  
Xiaoliang Jia ◽  
Kuo Liu ◽  
Bingyang Sun
Keyword(s):  
Reinforcement Learning ◽  
Traffic Control ◽  
Industry 4.0 ◽  
Control Model ◽  
Behavior Trees ◽  
Adaptive Traffic Control ◽  
Self Adaptive

scholarly journals Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System

2021 ◽  
pp. 207-216
Author(s):  
Simon Vanneste ◽  
Gauthier de Borrekens ◽  
Stig Bosmans ◽  
Astrid Vanneste ◽  
Kevin Mets ◽  
...  
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Traffic Control ◽  
Traffic Control System ◽  
Adaptive Traffic Control

Translating the Air Traffic Control Model

2017 ◽  
pp. 39-57
Author(s):  
Leon Starr ◽  
Andrew Mangogna ◽  
Stephen Mellor
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Control Model ◽  
Air Traffic

scholarly journals Research on an intelligent traffic congestion control model

2021 ◽  
Vol 336 ◽  
pp. 07001
Author(s):  
Bo Xu ◽  
Jianbing Chen ◽  
Wei Tang
Keyword(s):  
Congestion Control ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Control Model ◽  
Status Quo ◽  
Key Technology ◽  
Related Research ◽  
The Status ◽  
Traffic Congestion Control

This paper summarizes the status quo of intelligent traffic congestion control and vehicle following on traffic road, puts forward the key technology model and its content of intelligent traffic control, elaborates the model and content in detail, and summarizes the research done, hoping to provide reference for the related research on intelligent traffic congestion control.

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