Open AccessPerformance validation of vehicle platooning through intelligible analytics
Author(s) -
Mongelli Maurizio,
Ferrari Enrico,
Muselli Marco,
Fermi Alessandro
Publication year - 2019
Publication title -
iet cyber‐physical systems: theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 7
ISSN - 2398-3396
DOI - 10.1049/iet-cps.2018.5055
Subject(s) - analytics , computer science , data extraction , data analysis , extraction (chemistry) , collision , test (biology) , test data , data mining , computer security , paleontology , chemistry , medline , chromatography , biology , political science , law , programming language
The study deals with intelligible analytics for performance modelling of vehicle platooning. Knowledge extraction with rules is targeted to understand safety regions (collision avoidance) of system parameters. Results are shown by feeding data through simulation to the train of different rule extraction mechanisms. Safety regions are evidenced on test data with statistical error very close to zero.