Performance validation of vehicle platooning through intelligible analytics. Issue 2 (8th January 2019)

• Record Type: Journal Article
• Authors: Mongelli, Maurizio; Ferrari, Enrico; Muselli, Marco; Fermi, Alessandro
• Is Part Of: IET cyber-physical systems. Volume 4:Issue 2(2019)
• Page Start: 120
• Page End: 127
• Publication Date: 2019-01-08
• Subjects: road vehicles -- collision avoidance -- knowledge acquisition -- statistical analysis; collision avoidance -- system parameters -- safety regions -- performance validation -- vehicle platooning -- intelligible analytics -- performance modelling -- knowledge extraction -- rule extraction mechanisms -- statistical error
• DOI: 10.1049/iet-cps.2018.5055
• Languages: English
• ISSNs: 2398-3396

Abstract

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.