An online estimation of driving style using data-dependent pointer model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00481220" target="_blank" >RIV/67985556:_____/18:00481220 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.trc.2017.11.001" target="_blank" >http://dx.doi.org/10.1016/j.trc.2017.11.001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trc.2017.11.001" target="_blank" >10.1016/j.trc.2017.11.001</a>
Alternative languages
Result language
angličtina
Original language name
An online estimation of driving style using data-dependent pointer model
Original language description
The paper focuses on a task of stochastic modeling the driving style and its online estimation while driving. The driving style is modeled by means of a mixture model with normal and categorical components as well as a data-dependent pointer. The main contributions of the presented approach are: (i) the online estimation of the driving style while driving, taking into account data up to the current time instant, (ii) the joint model for continuous and discrete data measured on a vehicle, (iii) the data-dependent model of the driving style conditioned by the values of fuel consumption, (iv) the use of the model both for detection of clusters according to the driving style and prediction of the fuel consumption along with other variables, and (v) the universal modeling with the help of mixtures, which allows us to use different combinations of components and pointer models as well as to specify the initialization approach suitable for the considered problem.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA15-03564S" target="_blank" >GA15-03564S: Clustering and classification using recursive mixture estimation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transportation Research. Part C: Emerging Technologies
ISSN
0968-090X
e-ISSN
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Volume of the periodical
86
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
23-36
UT code for WoS article
000425566000002
EID of the result in the Scopus database
2-s2.0-85033590254