Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
IoT on-board system for driving style assessment
BetterSolutions S.A., POL.
Politechnika Gdanska, POL.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
Vise andre og tillknytning
2018 (engelsk)Inngår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, nr 4, artikkel-id 1233Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The assessment of skills is essential and desirable in areas such as medicine, security, and other professions where mental, physical, and manual skills are crucial. However, often such assessments are performed by people called “experts” who may be subjective and are able to consider a limited number of factors and indicators. This article addresses the problem of the objective assessment of driving style independent of circumstances. The proposed objective assessment of driving style is based on eight indicators, which are associated with the vehicle’s speed, acceleration, jerk, engine rotational speed and driving time. These indicators are used to estimate three driving style criteria: safety, economy, and comfort. The presented solution is based on the embedded system designed according to the Internet of Things concept. The useful data are acquired from the car diagnostic port—OBD-II—and from an additional accelerometer sensor and GPS module. The proposed driving skills assessment method has been implemented and experimentally validated on a group of drivers. The obtained results prove the system’s ability to quantitatively distinguish different driving styles. The system was verified on long-route tests for analysis and could then improve the driver’s behavior behind the wheel. Moreover, the spider diagram approach that was used established a convenient visualization platform for multidimensional comparison of the result and comprehensive assessment in an intelligible manner. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

sted, utgiver, år, opplag, sider
MDPI AG , 2018. Vol. 18, nr 4, artikkel-id 1233
Emneord [en]
Driver’s behavior, Driving style, Eco driving, Embedded system, Internet of things, Real-time vehicle tracking, Skills assessment, Behavioral research, Diagnosis, Embedded systems, Accelerometer sensor, Comprehensive assessment, Driving styles, Eco-driving, Objective assessment, Real time, Visualization platforms, Automobile safety devices
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-16152DOI: 10.3390/s18041233ISI: 000435574800305Scopus ID: 2-s2.0-85045628840OAI: oai:DiVA.org:bth-16152DiVA, id: diva2:1203686
Merknad

open access

Tilgjengelig fra: 2018-05-04 Laget: 2018-05-04 Sist oppdatert: 2018-07-12

Open Access i DiVA

fulltext(43436 kB)66 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 43436 kBChecksum SHA-512
a243acfe81f4e8f7e7592628e412a9ea3e901bb7a3080b085e40e046c5d8f49e0ca63287fc971a01e01eb9efec36907ee5eb250bd83b5ab4d55145eb6a379249
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Kulesza, Wlodek

Søk i DiVA

Av forfatter/redaktør
Czapla, JacekDamps, PawelKulesza, Wlodek
Av organisasjonen
I samme tidsskrift
Sensors

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 66 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 236 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf