SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:kth-159049"
 

Search: onr:"swepub:oai:DiVA.org:kth-159049" > Fuel-Saving Potenti...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Fuel-Saving Potentials of Platooning Evaluated through Sparse Heavy-Duty Vehicle Position Data

Liang, Kuo-Yun (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre,Scania CV AB, Sweden
Mårtensson, Jonas (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre
Johansson, Karl H. (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre
 (creator_code:org_t)
IEEE conference proceedings, 2014
2014
English.
  • Conference paper (peer-reviewed)
Abstract Subject headings
Close  
  • Vehicle platooning is important for heavy-duty vehicle manufacturers, due to the reduced aerodynamic drag for the follower vehicles, which gives an overall lower fuel consumption. Heavy-duty vehicle drivers are aware this fact and sometimes drive close to other heavy-duty vehicles. However, it is not currently well known how many vehicles are actually driving in such spontaneous platoons today. This paper studies the platooning rate of 1,800 heavy-duty vehicles by analyzing sparse vehicle position data from a region in Europe during one day. Map-matching and path-inference algorithms are used to determine which paths the vehicles took. The spontaneous platooning rate is found to be 1.2 %, which corresponds to a total fuel saving of 0.07% compared to if none of the vehicles were platooning. Furthermore, we introduce several virtual coordination schemes. We show that coordinations can increase the platooning rate and fuel saving with a factor of ten with minor adjustments from the current travel schedule. The platooning rate and fuel savings can be significantly greater if higher flexibility is allowed.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Fuel economy
Image matching
Inference engines
Intelligent vehicle highway systems
Vehicles

Publication and Content Type

ref (subject category)
kon (subject category)

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view