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Estimation of the driving style based on the usersʹ activity and environment influence
ID
Sysoev, Mikhail
(
Avtor
),
ID
Kos, Andrej
(
Avtor
),
ID
Guna, Jože
(
Avtor
),
ID
Pogačnik, Matevž
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(1,95 MB)
MD5: A7C4DD4C9A4898C39E2E1DC5E130D58D
URL - Izvorni URL, za dostop obiščite
http://www.mdpi.com/1424-8220/17/10/2404
Galerija slik
Izvleček
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
Število ogledov:
655
Število prenosov:
160
Metapodatki:
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Objavi na:
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
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