The invention discloses a driving behavior analysis method based on a weighted cost function. The method comprises the following steps: a) parameter selection; b) acquiring sample data; c) extracting a basic event; d) constructing a cost function; e) calculating the value of the performance index; f) calculating the weight of the performance index; and g) carrying out driver clustering analysis. According to the driving behavior analysis method, the cost function is constructed according to the basic events in the driving data, then the value of the weight is obtained by using the entropy weight method, and finally the clustering analysis is performed on the driver by using the k-means method so as to obtain the type of the driver. According to the method, the drivers can be quickly and accurately classified, the driving behaviors of the drivers can be warned to avoid traffic accidents, and meanwhile, a reliable reference basis can be provided for a vehicle insurance mechanism to adjust the insurance amount of the drivers.
本发明的基于加权代价函数的驾驶行为分析方法,包括:a).参数选择;b).获取样本数据;c).提取基本事件;d).构建代价函数;e).计算性能指标的值;f).计算性能指标的权重;g).驾驶人聚类分析。本发明的驾驶行为分析方法,根据驾驶数据中基本事件构建出代价函数,然后利用熵权法获得权重的值,最后利用k‑means方法对驾驶人进行聚类分析,以获取驾驶人的类型;实现了驾驶人的快速、准确分类,可对驾驶人的驾驶行为提出善意提醒,以避免交通事故的发生,同时还可为车辆保险机构提供可靠的参考依据,以调整驾驶人的保险金额。
Driving behavior analysis method based on weighted cost function
一种基于加权代价函数的驾驶行为分析方法
2022-06-03
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA |
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