考虑多车影响的智能网联车跟驰模型

doi:10.13229/j.cnki.jdxbgxb.20220770

Abstract

Abstract:

To study the impact of connected autonomous vehicle （CAV） on traffic flow， based on the intelligent driver model （IDM）， a car-following model for CAV is constructed by considering the rear vehicle and velocity difference of multiple front vehicles simultaneously. Then critical stability condition is deduced by applying the linear stability analysis theory. Taking a rear vehicle and five-head vehicles into consideration， the numerical simulation is performed. The results show that under the backward looking effect context only when the backward weight ratio belongs to an appropriate range then the traffic flow stability can be enhanced. Furthermore， accounting for both the rear vehicle and the velocity difference of multiple preceding vehicles can also reduce the instability of traffic flow caused by time delay. The acceleration of the vehicle under the new model is gentler and more conducive to improve the stability and safety of traffic flow.

Key words: traffic engineering, car-following model, connected autonomous vehicle, traffic flow stability, safety evaluation

CLC Number:

U491.1

Yun PU,Yin XU,Hai-xu LIU,Yi-fan TAN. An improved car⁃following model for connected and automated vehicles considering impact of multiple vehicles[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(5): 1285-1292.

Figures/Tables 5

Fig.1

Table 1

Parameter values of model"

参数	取值	参数	取值
$a$ /（m·s^-2）	1	$l$ /m	6
$b$ /（m·s^-2）	-2	$T$ /s	1.1
v_f /（m·s^-1）	30	s₀ /s	2

Table 1

Fig.2

Table 2

Table 3

Impacts of CAV with different penetration rates on TIT"

CAV渗透率	不同d_o（s）取值的 $T I T$ 值降低百分比均值/%
CAV渗透率	2.0	2.5	3.0	3.5
0	0.00	0.00	0.00	0.00
10	-21.78	-16.25	-13.88	-6.55
20	-60.67	-40.97	-39.95	-31.05
30	-69.56	-67.57	-58.23	-58.20
40	-80.41	-76.65	-76.18	-68.27
50	-80.70	-79.32	-76.38	-71.52
60	-85.65	-81.12	-79.70	-77.89
70	-88.42	-84.48	-80.57	-79.71
80	-91.55	-86.71	-85.22	-84.10
90	-91.76	-88.97	-87.53	-85.47
100	-92.13	-89.93	-87.91	-85.94

Table 3

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CAV渗透率	不同d_o（s）取值的TET值降低百分比均值/%
CAV渗透率	2.0	2.5	3.0	3.5
0	0.00	0.00	0.00	0.00
10	-19.18	-14.45	-9.42	-4.77
20	-57.84	-37.13	-35.16	-24.62
30	-67.36	-63.30	-52.29	-50.99
40	-78.48	-72.31	-69.29	-60.43
50	-78.93	-75.52	-71.61	-63.60
60	-83.85	-77.50	-75.38	-71.67
70	-86.28	-81.32	-76.40	-74.08
80	-89.81	-84.32	-81.46	-78.70
90	-90.07	-86.41	-84.03	-80.39
100	-91.11	-87.51	-84.34	-81.07

An improved car⁃following model for connected and automated vehicles considering impact of multiple vehicles

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