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Acquisition, Modeling, and Evaluating Method of Driving Behavior Based on OBD-II: A Literature Survey
Author(s) -
Galih Hermawan,
Emir Husni
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/879/1/012030
Subject(s) - computer science , identification (biology) , data acquisition , data science , systems engineering , engineering , botany , biology , operating system
In this paper, we present the results of a literature survey related to driving behavior that aims to provide an overview of recent research related to driving behavior, including how to obtain data from onboard diagnostics (OBD-II), analyze data, model data, and evaluate models or systems. Driving behavior is closely related to driving habits that can be used for driver identification, driving characterization, improve fuel efficiency, and any other things. The contents of the discussion are arranged based on the research objectives, then will discuss the methods used and the evaluation results. Through this research is expected to provide insight into the acquisition and utilization of driving behavior for various things. Furthermore, provide an overview of research opportunities in the future.

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