hh.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Statistical Analysis of Driver Behaviour and Eco-Driving model based on CAN bus Data
Högskolan i Halmstad, Akademin för informationsteknologi.
2015 (Engelska)Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
Abstract [en]

The objective of this thesis is to analyse driving behaviour and to characterize the effectsof an efficient way of driving, termed eco-driving, that enables the driver to reduce fuelconsumption and CO2emissions.The approach used to assess driving style is a collection of data from a CAN bus of acar equipped with OBD-II (on-board diagnostic) system. The driving experiment wasperformed for nine drivers who drove in a normal way or regular driving style and onedriver was an eco-driver who drove in an economical driving style. The driving routewas approximately 18.7 kms (which took between 25 to 30 minutes) in Halmstad city,Sweden.The drivers are compared using a statistical analysis of the driving parameters such as,speed, accelerator (gas pedal) and brake pressure, which are obtained from CAN busdata. A hierarchical clustering algorithm also used to classify the drivers based on theaverage result of the signals.In the results, a driving difference between the eco-driver and the normal drivers is visi-ble, most of the normal drivers have more or less similar behaviour. The average speed ofthe eco-driver lower than the normal drivers and the accelerator (gas pedal) result is alsoshown less usage by the eco-driver than the normal drivers. On the other hand, the eco-driver has braked more often than the normal drivers, but gently. Nevertheless, differenttraffic conditions during the experiment obstructs comparisons between the drivers.

Ort, förlag, år, upplaga, sidor
2015. , s. 44
Nyckelord [en]
Fuel consumption, Drivers’ behaviour, Eco-driving, Relevant driving param-eters, Driving efficiency, Clustering
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:hh:diva-28091OAI: oai:DiVA.org:hh-28091DiVA, id: diva2:805166
Ämne / kurs
Datateknik
Presentation
2014-12-17, E3, Halmstad, 14:00 (Engelska)
Handledare
Examinatorer
Tillgänglig från: 2015-04-17 Skapad: 2015-04-14 Senast uppdaterad: 2015-04-17Bibliografiskt granskad

Open Access i DiVA

fulltext(11181 kB)1419 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 11181 kBChecksumma SHA-512
04d0579e91099d56d1450353d6abc82081e4989964fae06d139081f2ed3192bb0654ade4d728d23c7eaf6ada2951f6fa3a67020f857dff27df2ebad07ed7402e
Typ fulltextMimetyp application/pdf

Av organisationen
Akademin för informationsteknologi
Teknik och teknologier

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 1419 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 1123 träffar
RefereraExporteraLänk till posten
Permanent länk

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