Identification of Safety Regions in Vehicle Platooning via Machine Learning

被引：0
|
作者：
Fermi, Alessandro [1 ]
Mongelli, Maurizio [1 ]
Muselli, Marco [1 ]
Ferrari, Enrico [2 ]
机构：
[1] Natl Res Council Italy, Inst Elect Comp & Telecommun Engn, Genoa, Italy
[2] Impara Srl, Genoa, Italy
来源：
2018 14TH IEEE INTERNATIONAL WORKSHOP ON FACTORY COMMUNICATION SYSTEMS (WFCS 2018) | 2018年
关键词：
COMMUNICATION; SYSTEMS; DYNAMICS;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper introduces the use of machine learning with rule generation to validate collision avoidance in vehicle platooning. Cooperative Adaptive Cruise Control is under test over a range of system parameters including speed and distance of the vehicles as well as packet error rate of the communication channel. Safety regions are evidenced on test data with statistical error very close to zero.
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页数：4
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