Performance validation of vehicle platooning through intelligible analytics
Maurizio Mongelli, Enrico Ferrari, Enrico Ferrari and 2 more
IET Cyber-Physical Systems · 2018
doi:10.1049/iet-cps.2018.5055 (opens in a new tab)
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Abstract
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.
Abstract licence: CC BY-ND
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