Estimation of the driving style based on the usersʹ activity and environment influence

Sysoev, Mikhail (avtor), Kos, Andrej (avtor), Guna, Jože (avtor), Pogačnik, Matevž (avtor)

New models and methods have been designed to predict the influence of the user’s environment and activity information to the driving style in standard automotive environments. For these purposes, an experiment was conducted providing two types of analysis: (i) the evaluation of a self-assessment of the driving style; (ii) the prediction of aggressive driving style based on drivers’ activity and environment parameters. Sixty seven h of driving data from 10 drivers were collected for analysis in this study. The new parameters used in the experiment are the car door opening and closing manner, which were applied to improve the prediction accuracy. An Android application called Sensoric was developed to collect low-level smartphone data about the users’ activity. The driving style was predicted from the user’s environment and activity data collected before driving. The prediction was tested against the actual driving style, calculated from objective driving data. The prediction has shown encouraging results, with precision values ranging from 0.727 up to 0.909 for aggressive driving recognition rate. The obtained results lend support to the hypothesis that user’s environment and activity data could be used for the prediction of the aggressive driving style in advance, before the driving starts.

• Jezik: Angleški jezik
• Ključne besede: aggressive driving, user environment data, activity data, driving style prediction
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2017
• Št. strani: 15 str.
• Številčenje: Vol. 17, iss. 10, art. 2404
• PID: 20.500.12556/RUL-131010
• UDK: 004.9:629.072
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s17102404
• COBISS.SI-ID: 11867476
• Datum objave v RUL: 21.09.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 21.10.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: agresivna vožnja, uporabniški kontekst, uporabniška aktivnost, predikcija stila vožnje

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: Ministry of Education, Science and Sport of Slovenia

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije