共驾型智能车辆人机接管行为序列编码与解析

doi:10.13229/j.cnki.jdxbgxb.20221391

Abstract

Abstract:

Co-driving autonomous vehicles have manual and automated driving mode. The driving behavior characteristics of co-driving autonomous vehicles will show new characteristics. The driving behavior data of 15 drivers are collected. The characteristic map of driving behavior is constructed by using symbol aggregation approximation method and video recording calibration method. The common behavior sequence of autonomous vehicle man-machine takeover is excavated based on longest common subsequence algorithm. The results show that when obstacles appear in front of the autonomous vehicle the common behavior sequence is： looking ahead and pressing the brake pedal - observing the left rearview mirror and turning on the left turn signal - turning the steering wheel to the left - closing left turn signal. This study may helpful to improve the effectiveness of autonomous vehicle takeover.

Key words: engineering of transportation and communication system, human-machine takeover, driving behavior, symbolic aggregate approximation, graph

CLC Number:

U491.1

Li-xin YAN,Tao ZENG,Yi HE,Jun-hua GUO,Xin-hui HU. Man-machine takeover behavior sequence coding and analysis of shared driving intelligent vehicle[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(9): 2547-2556.

Figures/Tables 15

Table 1

Partial data table"

速度/（km·h^-1）	加速度/（m·s^-2）	油门踏板深度/%	制动踏板深度/%	…	驾驶状态
7.88	-0.35	0	0	…	1
$?$	$?$	$?$	$?$		$?$
29.55	5.81	0.67	0	…	0
34.75	3.22	0.67	0	…	0

Table 1

Table 2

Table 3

The number of divided characters m is a breakpoint from 3 to 10"

$β i$	$m$
$β i$	3	4	5	6	7	8	9	10
$β 1$	-0.43	-0.67	-0.84	-0.97	-1.07	-1.15	-1.22	-1.28
$β 2$	0.43	0	-0.25	-0.43	-0.57	-0.67	-0.76	-0.84
$β 3$		0.67	0.25	0	-0.18	-0.32	-0.43	-0.52
$β 4$			0.84	0.43	0.18	0	-0.14	-0.25
$β 5$				0.97	0.57	0.32	0.14	0
$β 6$					1.07	0.67	0.43	0.25
$β 7$						1.15	0.76	0.52
$β 8$							1.22	0.84
$β 9$								1.28

Table 3

Fig.1

Fig.2

Fig.3

Table 4

Fig.4

Table 5

Table 6

Table 7

Fig.5

Table 8

Fig.6

Fig.7

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驾驶操作	基本元素	驾驶操作	基本元素
注视前方	A	向左打转向盘	E₁
观察左后视镜	B₁	向右打转向盘	E₂
观察右后视镜	B₂	左转向灯开启	F₁
油门踏板踩下	C₁	左转向灯关闭	F₂
油门踏板松开	C₂	右转向灯开启	G₁
制动踏板踩下	D₁	右转向灯关闭	G₂
制动踏板松开	D₂	按喇叭	H

参数	降维后的长度N	字符数m	符号化编码
速度	15	4	caaaabccddddcbb
加速度	15	4	aaccdcdcdcababb
油门踏板深度	9	4	abdddbaa
制动踏板深度	9	4	dbbbbbbb
角速度	7	3	cabbbb
前轮转角	15	4	bbccdddcaaaaccc
角加速度	9	3	cabcbaba

车辆运动行为	Sig.（双侧）	相关系数
速度	0.000	0.537^**
加速度	0.000	-0.503^**
油门踏板深度	0.315	0.120
制动踏板深度	0.000	0.634^**
俯仰角	0.193	0.026
前轮转角	0.026	-0.468
横摆角速度	0.542	0.008

被试者序号	车辆运动指标
被试者序号	速度	加速度	制动踏板深度
1	daaaabccccddd	bbbcccccdddaa	ddbbbbbbb
2	dbaaabcddccc	aabcdddcbacc	ddbbbbbb
3	dbaaabdddcbcc	aabcdddbaaccc	dcbbbbbbb
4	daaabcdddcbbcc	aacccdcabbccdc	dcbbbbbbb
5	dcaaabcddcb	aabcccddbbc	dbbbbbb
6	daaabdddcbcc	aaccddbbbcdd	dbbbbbbb
7	caaaabcddddd	aaccccdddabb	dcbbbbbb
8	baaabcdddcc	aacdccdcaac	dbbbbbb
9	dbaaabccccdd	aabcccdbddda	dbbbbbbb
10	dbaaabbddd	aabccccdcd	dbbbbbb
11	daaabcdddbcb	acccccdcbccb	dbbbbbbbb
13	daaaaabccdddddd	aaccccccccccbcb	dbbbbbbb
14	caaaabbcccccdd	aacccccdcacdcc	dbbbbbb
15	caaaabccddddcbb	aaccdcdcdcababb	dbbbbbbb

被试者序号	驾驶行为次数	符号化编码	车辆运动轨迹变化
1	10	ad₁b₁f₁e₁d₂af₂c₁c₂	左变道
2	8	ad₁d₂f₁b₁e₁f₂a	左变道
3	9	d₁ad₂f₁b₁e₁af₂c₁c₂	左变道
4	7	ad₁g₁b₂e₂ag₂	右变道
5	10	ad₁b₁b₂f₁b₁e₁af₂c₂	左变道
6	9	ad₁af₁b₁e₁f₂d₂c₁	左变道
7	9	ad₁d₂f₁b₁e₁ac₁f₂	左变道
8	9	ad₁d₂f₁b₁e₁f₂c₁c₂	左变道
9	10	d₁ab₁af₁b₁e₁f₂d₂c₁	左变道
10	10	ad₁d₂f₁b₁e₁ac₁f₂c₂	左变道
11	15	ad₁d₂f₁b₁e₁af₂g₁b₂e₂ac₁g₂c₂	左变道+右变道
13	9	ad₁b₁f₁ae₁d₂c₁f₂	左变道
14	8	ad₁f₁b₁e₁af₂d₂	左变道
15	11	a₁d₁b₁a₁f₁b₁e₁a₁f₂d₂c₁	左变道

Man-machine takeover behavior sequence coding and analysis of shared driving intelligent vehicle

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