Two-layer pointer model of driving style depending on the driving environment
Two-layer pointer model of driving style depending on the driving environment
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DOI：
10.1016/j.trb.2019.08.009
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
E. Suzdaleva;I. Nagy
中科院分区：
文献类型：
--
作者：
E. Suzdaleva;I. Nagy
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.
