A Driving-Behavior-Based SoC Prediction Method for Light Urban Vehicles Powered by Supercapacitors

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2019.2912501 ◽

2020 ◽

Vol 21 (5) ◽

pp. 2090-2099

Author(s):

Houlian Wang ◽

Gongbo Zhou ◽

Rui Xue ◽

Yuanjie Lu ◽

Julie A. McCann

Keyword(s):

Prediction Method ◽

Driving Behavior ◽

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Identification of highway dangerous driving behavior based on Hidden Markov Model

Civil Engineering and Urban Planning III ◽

10.1201/b17190-43 ◽

2014 ◽

pp. 209-212

Keyword(s):

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Driving Behavior ◽

Dangerous Driving ◽

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Acquisition, Modeling, and Evaluating Method of Driving Behavior Based on OBD-II: A Literature Survey

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/879/1/012030 ◽

2020 ◽

Vol 879 ◽

pp. 012030

Author(s):

Galih Hermawan ◽

Emir Husni

Keyword(s):

Driving Behavior ◽

Literature Survey ◽

Behavior Based ◽

Evaluating Method

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Highway traffic state prediction method considering risky driving behavior

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/587/1/012012 ◽

2020 ◽

Vol 587 ◽

pp. 012012

Author(s):

Hao Zhiqiang ◽

Niu Shuyun ◽

Li Jiang Tao ◽

Su Fei

Keyword(s):

Prediction Method ◽

Driving Behavior ◽

Highway Traffic ◽

Risky Driving ◽

Traffic State ◽

State Prediction

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Multi-agent and driving behavior based rear-end collision alarm modeling and simulating

Simulation Modelling Practice and Theory ◽

10.1016/j.simpat.2010.02.006 ◽

2010 ◽

Vol 18 (8) ◽

pp. 1092-1103 ◽

Author(s):

Jun Liang ◽

Long Chen ◽

Xian-yi Cheng ◽

Xian-bo Chen

Keyword(s):

Driving Behavior ◽

Multi Agent ◽

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A Study of Bad Driving Behavior Based on Improved K-Means Clustering and Neural Network

DEStech Transactions on Environment Energy and Earth Science ◽

10.12783/dteees/iccis2019/31678 ◽

2019 ◽

Author(s):

Fujun YANG ◽

Yi ZHANG ◽

Junpeng CHEN ◽

Qiang YANG ◽

Zhqiang ZHOU

Keyword(s):

Neural Network ◽

Driving Behavior ◽

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Prediction of Driving Behavior Based on Seat Pressure and Driving Information

The Proceedings of Design & Systems Conference ◽

10.1299/jsmedsd.2019.29.1410 ◽

2019 ◽

Vol 2019.29 (0) ◽

pp. 1410

Author(s):

Yuya OGAWARA ◽

Keiichi WATANUKI ◽

Kazunori KAEDE ◽

Keiichi MURAMATSU

Keyword(s):

Driving Behavior ◽

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Prediction model of driving behavior based on traffic conditions and driver types

2009 12th International IEEE Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2009.5309718 ◽

2009 ◽

Author(s):

Hideomi Amata ◽

Chiyomi Miyajima ◽

Takanori Nishino ◽

Norihide Kitaoka ◽

Kazuya Takeda

Keyword(s):

Prediction Model ◽

Driving Behavior ◽

Traffic Conditions ◽

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Research on Intelligent Driving Behavior Based on Cognitive Science and Scene Simulation

2011 International Conference on Intelligence Science and Information Engineering ◽

10.1109/isie.2011.15 ◽

2011 ◽

Author(s):

Xin Gao ◽

Li Gao ◽

Gang Dong

Keyword(s):

Cognitive Science ◽

Driving Behavior ◽

Scene Simulation ◽

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2208 An Analysis of the Elderly on Their Driving Behavior Based on the Multimodal Data During the Course Driving

The Proceedings of the Transportation and Logistics Conference ◽

10.1299/jsmetld.2010.19.283 ◽

2010 ◽

Vol 2010.19 (0) ◽

pp. 283-286 ◽

Author(s):

Kazuya TAMIDA ◽

Misato NIHEI ◽

Motoki SHINO ◽

Minoru KAMATA

Keyword(s):

The Elderly ◽

Driving Behavior ◽

Multimodal Data ◽

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Safety Awareness Online Detection System of Driving Behavior Based on Software and Hardware Co-design

2016 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) ◽

10.1109/qrs-c.2016.60 ◽

2016 ◽

Author(s):

Jihu Zhang ◽

Haipeng Wang ◽

Wu Liu ◽

Yan Gong ◽

Yunwei Dong ◽

...

Keyword(s):

Detection System ◽

Driving Behavior ◽

Online Detection ◽

Safety Awareness ◽

Software And Hardware ◽

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