高级驾驶员辅助系统
控制(管理)
计算机科学
车辆安全
智能交通系统
智能控制
工程类
风格(视觉艺术)
汽车工程
运输工程
人工智能
地理
考古
作者
Clara Marina Martinez,Mira Heucke,Fei-Yue Wang,Bo Gao,Dongpu Cao
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2018-03-01
卷期号:19 (3): 666-676
被引量:273
标识
DOI:10.1109/tits.2017.2706978
摘要
Driver driving style plays an important role in vehicle energy management as well as driving safety. Furthermore, it is key for advance driver assistance systems development, toward increasing levels of vehicle automation. This fact has motivated numerous research and development efforts on driving style identification and classification. This paper provides a survey on driving style characterization and recognition revising a variety of algorithms, with particular emphasis on machine learning approaches based on current and future trends. Applications of driving style recognition to intelligent vehicle controls are also briefly discussed, including experts’ predictions of the future development.
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