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Dynamic Feature Extraction Method of Driver's Propensity under Complicated Vehicle Group

机译：复杂车辆组下驾驶员倾向的动态特征提取方法

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Xiaoyuan Wang; Jinglei Zhang; Xuegang(Jeff) Ban; Derong Tan;
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年度 2013
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1. Dynamic Feature Extraction Method of Driver's Propensity under Complicated Vehicle Group [J] . Xiaoyuan Wang, Jinglei Zhang, Xuegang(Jeff) Ban, Advances in Mechanical Engineering . 2013,第Pta6期

机译：复杂车辆群下驾驶员倾向性动态特征提取方法
2. Prediction Method of Driver's Propensity Adapted to Driver's Dynamic Feature Extraction of Affection [J] . Jinglei Zhang, Xiaoyuan Wang, Xuegang(Jeff) Ban, Advances in Mechanical Engineering . 2013,第Pta6期

机译：适应驾驶员动态情感特征提取的驾驶员倾向性预测方法
3. Transformation mechanism of vehicle cluster situations under dynamic evolution of driver's propensity [J] . Wang Xiaoyuan, Liu Yaqi, Guo Yongqing, Transportation research . 2019,第Auga期

机译：驾驶员意愿动态演化下车辆群状况的转化机制
4. Extraction of the Dynamic Vehicle Driver's Tendency Feature Based on Car-following [C] . Xiao-yuan WANG, Jing-lei ZHANG, Jin LIU, COTA international conference of transportation professionals . 2012

机译：基于跟车的动态车辆驾驶员倾向性特征提取
5. Forest terrain feature characterization using multi-sensor neural image fusion and feature extraction methods. [D] . Pugh, Mark L. 2005

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6. Earthquake Detection in a Static and Dynamic Environment Using Supervised Machine Learning and a Novel Feature Extraction Method [O] . Irshad Khan, Seonhwa Choi, Young-Woo Kwon 2020

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7. Extraction and Recognition Methods of Vehicle Driving Tendency Feature Based on Drivervehicle-environment Dynamic Data under Car Following [O] . Xiaoyuan Wang, Jinglei Zhang 2011

机译：基于驾驶员环境动态数据的车辆驾驶趋势特征的提取与识别方法
8. Exact computation of derivatives with differential algebra and applications to beam dynamics. Part 1, A survey of differential algebra and its use for the extraction of maps to arbitrary order; Part 2, Normal form methods for complicated periodic systems: [R] . Berz, M., Forest, E., Irwin, J. 1988

机译：用微分代数精确计算导数并应用于梁动力学。第1部分，差分代数的调查及其用于将地图提取到任意顺序的用途;第2部分，复杂周期系统的正规形式方法：

Dynamic Feature Extraction Method of Driver's Propensity under Complicated Vehicle Group

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