基于潜在类别模型的急陡弯路段驾驶行为辨析

doi:10.13229/j.cnki.jdxbgxb.20230192

Abstract

Abstract:

The issue of distinguishing driving behavior characteristics in steep sharp curves was addressed by employing a behavior classification method based on vehicle driving parameters. After analyzing real driving data， six variables were selected， including vehicle type， velocity before curve， velocity after curve， deceleration before curve， car-following driving and differences in velocity pre- and post-curve. The characteristics of each type of drives were determined based on the construction of the latent model. The findings that drivers could be classified into three categories： stable drivers， restricted drivers， and free drivers. Stable drivers exhibited parameter values that fell between all three types， they tended to enter and exit curves at a consistent speed. Restricted drivers showed significant features of deceleration or car-following driving before curves. Conversely， the free drivers had the highest velocity before and after curve with their differences in velocity pre- and post-curve were also the highest.

Key words: engineering of communications and transportation system, driving behavior, steep sharp curve, K-means clustering, latent class model, driver classification

CLC Number:

U491.255

De-lin LI,Jun-xian CHEN,Yong-gang WANG,Lu WANG,Zhao-qing SHEN. Identification of driving behavior on steep sharp curves based on latent class model[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(12): 3526-3533.

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编号	车牌	车型	入弯速度/（km·h^-1）	出弯速度/（km·h^-1）	速度差/（km·h^-1）	入弯前减速行为	跟驰行为
1	陕H68839	小汽车	62.86	62.39	0.47	无	无
2	陕EWD075	小汽车	57.10	42.73	14.36	有	无
3	陕HN5065	小汽车	54.22	49.14	5.08	无	无
4	陕A3B015	摩托	53.60	54.83	-1.22	有	无
5	陕A2UE90	小汽车	59.69	54.97	4.72	无	有
6	陕HW5988	小汽车	54.32	49.10	5.22	有	无
7	陕H18682	货车	66.24	55.55	10.69	有	无

外显变量	聚类数	聚类中心
入弯速度/（km·h^-1）	1	24.08
	2	36.86
	3	45.25
	4	55.55
	5	67.90
出弯速度/（km·h^-1）	1	23.00
	2	35.28
	3	44.10
	4	54.36
	5	67.25
速度差/（km·h^-1）	1	-8.53
	2	0.43
	3	6.73
	4	9.84

编号	变量名	水平	样本数量	样本比例/%
V₁	车型	1	534	82.28
		2	72	11.09
		3	43	6.63
V₂	入弯速度/（km·h^-1）	1	81	12.48
		2	185	28.51
		3	239	36.83
		4	96	14.79
		5	42	6.47
V₃	出弯速度/（km·h^-1）	1	75	11.56
		2	153	23.57
		3	264	40.68
		4	110	16.95
		5	47	7.24
V₄	速度差/（km·h^-1）	1	87	13.41
		2	282	43.45
		3	220	33.90
		4	60	9.24
V₅	入弯前减速行为	1	220	33.90
V₅	入弯前减速行为	2	429	66.10
V₆	跟驰行驶行为	1	282	43.45
V₆	跟驰行驶行为	2	367	56.55

潜在类别个数	AIC	BIC	χ2	p-value
2	7 004.29	7 143.03	2 443.92	4.00E-41
3	6 557.47	6 767.81	1 212.96	0.000 16
4	6 319.56	6 601.51	799.42	0.127
5	6 196.05	6 549.61	427.29	1.000

外显变量名称	水平	潜在类别
外显变量名称	水平	第1类	第2类	第3类
车型	1	0.870 5	0.750 1	0.847 1
	2	0.107 5	0.114 2	0.112 3
	3	0.022 0	0.135 8	0.040 6
入弯速度	1	0.000 2	0.380 9	0.000 3
	2	0.160 8	0.618 2	0.000 6
	3	0.838 8	0.000 5	0.068 7
	4	0.000 2	0.000 2	0.647 2
	5	0.000 1	0.000 1	0.283 2
出弯速度	1	0.000 1	0.328 4	0.000 3
	2	0.000 4	0.669 7	0.000 5
	3	0.966 4	0.001 6	0.001 0
	4	0.033 0	0.000 2	0.681 4
	5	0.000 1	0.000 1	0.316 9
入弯前减速行为	1	0.343 8	0.341 9	0.325 7
入弯前减速行为	2	0.656 2	0.658 1	0.674 3
跟驰行驶	1	0.416 5	0.627 0	0.171 2
跟驰行驶	2	0.583 5	0.373 0	0.828 8
总体概率		0.420 1	0.351 6	0.228 3

Identification of driving behavior on steep sharp curves based on latent class model

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