一种基于车辆操作序列的驾驶特征识别方法

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yu Zhang, Bo Shen, Yi-Chih Kao, Hsin-Hung Chou
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引用次数: 0

摘要

驾驶行为已被证明对道路安全有很大的影响。驾驶特征识别是降低交通事故死亡率和发展智能交通系统的重要组成部分。本文提出了一种利用车载诊断(OBD)端口采集的GPS、速度、方向等矿用车辆运行数据进行驾驶特征识别的方法。基于从车辆运行序列中提取的特征,采用K-means算法对特征进行合理归一化和降维后聚类识别不同的驾驶特征。分析和实验结果表明,该方法对挖掘车辆运行数据序列中的有效信息具有良好的应用意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Driving Characteristics Recognition on Vehicle Operation Sequence
Driving behavior has been proved to have a great influence on road safety. Recognizing driving characteristic is an essential part of reducing traffic fatalities and developing intelligent traffic system. In this paper, we propose a method of driving characteristics recognition through mining vehicle operation data such as GPS, velocity and direction collected by the On-Board Diagnostic (OBD) port of vehicles. Based on the feature extracted from the vehicle operation sequence, we employ K-means algorithm to cluster and recognize different driving characteristics after reasonable normalization and dimensionality reduction of the features. Analysis and experimental results indicate that the proposed method has good application significance on mining effective information in vehicle operation data sequence.
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来源期刊
Journal of Internet Technology
Journal of Internet Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
3.20
自引率
18.80%
发文量
112
审稿时长
13.8 months
期刊介绍: The Journal of Internet Technology accepts original technical articles in all disciplines of Internet Technology & Applications. Manuscripts are submitted for review with the understanding that they have not been published elsewhere. Topics of interest to JIT include but not limited to: Broadband Networks Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business) Network Management Network Operating System (NOS) Intelligent systems engineering Government or Staff Jobs Computerization National Information Policy Multimedia systems Network Behavior Modeling Wireless/Satellite Communication Digital Library Distance Learning Internet/WWW Applications Telecommunication Networks Security in Networks and Systems Cloud Computing Internet of Things (IoT) IPv6 related topics are especially welcome.
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