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原文传递 Clustering driver behavior using dynamic time warping and hidden Markov model
题名: Clustering driver behavior using dynamic time warping and hidden Markov model
正文语种: eng
作者: Yao, Ying;Zhao, Xiaohua;Wu, Yiping;Zhang, Yunlong;Rong, Jian
作者单位: Beijing Univ Technol Beijing Key Lab Traff Engn Beijing Peoples R China|Beijing Univ Technol Coll Metropolitan Transportat Beijing Peoples R China;Beijing Univ Technol Beijing Key Lab Traff Engn Beijing Peoples R China|Beijing Univ Technol Coll
关键词: Driver behavior;driver clustering;dynamic time warping;hidden Markov model;in-vehicle data
摘要: Based on on-board diagnostics and Global Position System installed in taxicabs, driver behavior data is collected. Left turn data on six similar curves are extracted, and speed, acceleration, yaw rate, and sideslip angle of drivers in time series are sele
出版年: 2021
期刊名称: Journal of Intelligent Transportation Systems
卷: 25
期: 1/6
页码: 249-262
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