摘要
在汽车驾驶行为分析中,一般通过车载传感器收集数据,并对数据进行处理,但是车载传感器收集的数据具有很多弊端,比如具有数据量大、无法分辨方向等。本文提出一种基于基准点映射的驾驶行为分析算法:根据原始行驶记录,使用一定规则和Geohash算法建立带有方向的基准点,并将行驶记录投影到对应的基准点中,采用k-Means聚类算法对基准点数据进行分类,减少有效数据点个数,为后续危险驾驶行为分析提供基础。
In the car driving behavior analysis,data collection and data processing are generally performed by means of vehicle sensors.However,there are many drawbacks for the collected data by vehicle sensors,such as a large amount of data and indistinguishable directions.This paper proposes a driving behavior analysis algorithm based on reference point mapping:According to the original driving record,a certain rule is used to establish the reference point with direction.The driving record is projected into the corresponding reference point classified by k-Means clustering to reduce the numbers of effective points,which is prepared for the subsequent cluster analysis and the dangerous driving behavior analysis.
作者
郭巧丽
曹宏举
GUO Qiaoli;CAO Hongju(Dalian Neusoft University of Information,Dalian 116023,China;Dalian University of Foreign Languages,Dalian 116044,China)
出处
《软件工程》
2019年第12期11-13,共3页
Software Engineering
基金
教育部人文社会科学研究青年基金项目(15YJCZH005)
辽宁省自然科学基金项目(20180550018)
2018年度辽宁省普通高等教育本科教学改革研究项目(544)
2017年大连外国语大学科研基金项目成果(2017XJYB17)