Individual Driver Crash Risk Classification Based on IoV Data and Offline Consumer Behavior Data

Table 10

Comparison of consumer behavior-based models for severe collision and general collision risk classification (binning data).

Dependent variable	LRbox		NNbox		RFbox		SVMbox
	AUC	IR (%)	AUC	IR (%)	AUC	IR (%)	AUC	IR (%)
Basic features	0.800	—	0.729	—	0.785	—	0.778	—
Basic features + proportion of maintenance carried out in 4S dealer shops	0.801	0.07	0.739	1.40	0.779	-0.75	0.783	0.64
Basic features + average price of maintenance carried out in 4S dealer shops	0.804	0.44	0.733	0.52	0.781	-0.61	0.785	0.89
Basic features + average maintenance interval (days)	0.855	6.91	0.820	12.47	0.824	4.95	0.829	6.57
Basic features + average maintenance interval (miles)	0.824	3.00	0.764	4.84	0.819	4.32	0.796	2.35
Basic features + average number of products used in one maintenance episode	0.801	0.07	0.731	0.25	0.789	0.42	0.780	0.24

Note 1: LR_box, NN_box, RF_box, and SVM_box represent LR, NN, RF, and SVM models using binning data, respectively. Note 2: IR represents the increase in the AUC compared with the basic feature-based model.