@article{ref1,
title="Two-layer pointer model of driving style depending on the driving environment",
journal="Transportation research part B: methodological",
year="2019",
author="Suzdaleva, Evženie and Nagy, Ivan",
volume="128",
number="",
pages="254-270",
abstract="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 &quot;urban&quot;, &quot;rural&quot; and &quot;highway&quot;. The outer pointer through the determined environment estimates the active driving style from a fuel economy point of view as &quot;low consumption&quot;, &quot;middle consumption&quot; and &quot;high consumption&quot;. 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.<p /> <p>Language: en</p>",
language="en",
issn="0191-2615",
doi="10.1016/j.trb.2019.08.009",
url="http://dx.doi.org/10.1016/j.trb.2019.08.009"
}