Performance validation of vehicle platooning through intelligible analytics

Maurizio Mongelli, Enrico Ferrari, Marco Muselli, Alessandro Fermi

IET Cyber-Physical Systems Theory & Applications · 2018 · 22 citations · 21 references

DOIFull text

Open access

Concepts

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.

References

21