| bibtype |
J -
Journal Article
|
| ARLID |
0507883 |
| utime |
20240111141023.2 |
| mtime |
20190828235959.9 |
| SCOPUS |
85070899609 |
| WOS |
000487311300012 |
| DOI |
10.1016/j.trb.2019.08.009 |
| title
(primary) (eng) |
Two-layer pointer model of driving style depending on the driving environment |
| specification |
| page_count |
16 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0251984 |
| ISSN |
0191-2615 |
| title
|
Transportation Research. Part B: Methodological |
| volume_id |
128 |
| volume |
1 (2019) |
| page_num |
254-270 |
| publisher |
|
|
| keyword |
driving style |
| keyword |
driving environment |
| keyword |
fuel consumption |
| keyword |
two-layer pointer |
| keyword |
recursive mixture estimation |
| keyword |
mixture-based clustering |
| author
(primary) |
| ARLID |
cav_un_auth*0355927 |
| name1 |
Suzdaleva |
| name2 |
Evženie |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept (eng) |
Department of Signal Processing |
| department (cz) |
ZS |
| department (eng) |
ZS |
| full_dept |
Department of Signal Processing |
| country |
RU |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0351997 |
| project_id |
8A17006 |
| agency |
GA MŠk |
| country |
CZ |
|
| abstract
(eng) |
This paper deals with the task of modeling the driving style depending on the driving environment. The model of the driving style is represented as a two-layer mixture of normal components describing data with two pointers: outer and inner. The inner pointer indicates the actual driving environment categorized as “urban”, “rural” and “highway”. The outer pointer through the determined environment estimates the active driving style from a fuel economy point of view as “low consumption”, “middle consumption” and “high consumption”. All of these driving styles are assumed to exist within each driving environment due to the two-layer model. Parameters of the model and the driving style are estimated online, i.e., while driving using a recursive algorithm under the Bayesian methodology. The main contributions of the presented approach are: (i) the driving style recognition within each of urban, rural and highway environments as well as in the case of switching among them. (ii) the two-layer pointer, which allows us to incorporate the information from continuous data into the model. (iii) the potential use of the data-based model for other measurements using corresponding distributions. The approach was tested using real data. |
| result_subspec |
WOS |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2020 |
| num_of_auth |
2 |
| mrcbC52 |
4 A hod sml 4ah 4as 20231122144216.4 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0298856 |
| mrcbC64 |
1 Department of Signal Processing UTIA-B 10103 STATISTICS & PROBABILITY |
| confidential |
S |
| contract |
| name |
licence agreement |
| date |
20190914 |
| note |
Rights & Access |
|
| mrcbC86 |
2 Article Economics|Engineering Civil|Operations Research Management Science|Transportation|Transportation Science Technology |
| mrcbC91 |
C |
| mrcbT16-e |
ECONOMICS|ENGINEERINGCIVIL|OPERATIONSRESEARCHMANAGEMENTSCIENCE|TRANSPORTATION|TRANSPORTATIONSCIENCETECHNOLOGY |
| mrcbT16-j |
1.53 |
| mrcbT16-s |
2.895 |
| mrcbT16-B |
87.864 |
| mrcbT16-D |
Q1* |
| mrcbT16-E |
Q1* |
| arlyear |
2019 |
| mrcbTft |
\nSoubory v repozitáři: suzdaleva-0507883.pdf, suzdaleva-0507883 - licence agreement.pdf |
| mrcbU14 |
85070899609 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000487311300012 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0251984 Transportation Research. Part B: Methodological 0191-2615 1879-2367 Roč. 128 č. 1 2019 254 270 Elsevier |
|