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Fuel-Saving Potenti...
Fuel-Saving Potentials of Platooning Evaluated through Sparse Heavy-Duty Vehicle Position Data
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- Liang, Kuo-Yun (author)
- KTH,Reglerteknik,ACCESS Linnaeus Centre,Scania CV AB, Sweden
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- Mårtensson, Jonas (author)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Johansson, Karl H. (author)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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(creator_code:org_t)
- IEEE conference proceedings, 2014
- 2014
- English.
- Related links:
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https://kth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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)
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