Performance validation of vehicle platooning through intelligible analytics
| Autor: | Maurizio Mongelli, Enrico Ferrari, Marco Muselli, Alessandro Fermi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
road vehicles
collision avoidance knowledge acquisition statistical analysis system parameters safety regions performance validation vehicle platooning intelligible analytics performance modelling knowledge extraction rule extraction mechanisms statistical error Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95 |
| Zdroj: | IET Cyber-Physical Systems (2018) |
| Druh dokumentu: | article |
| ISSN: | 2398-3396 |
| DOI: | 10.1049/iet-cps.2018.5055 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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