Modeling of Traffic Flow Velocity Control Strategy for Human-machine Mixed Driving at Signalized Intersections

doi:10.16182/j.issn1004731x.joss.22-0307

Abstract

Abstract:

In order to analyze the influence of speed control strategy of autonomous vehicle on the operation characteristics of traffic flow, a deterministic decision-making model for intersections with artificially driven vehicles considering the driver's influence on the acquisition of driving information is constructed. An automatic driving speed control strategy considering the influence of the speed of preceding vehicle is proposed, and the continuous Cellular Automata update rules for signalized intersections are constructed respectively. By introducing the different penetration rates of automatic driving, road saturation and control area length parameters, the influence of CAV speed control strategy on the traffic flow characteristics of signalized intersections is studied. The results show that the autonomous vehicle can significantly improve the traffic capacity of intersection, and the delay of traffic flow through the intersection area is significantly reduced. The implementation effect of the speed control strategy is also affected by the length of control area, which shows that following the increase of length of control area, the average vehicle delay gradually decreases and stabilizes.

Key words: intelligent transportation, speed control, Cellular Automata, mixed traffic flow, Internet of Vehicles, signalized intersections

CLC Number:

TP391

Jianxu Zhang, Shuai Hu, Hongyi Jin. Modeling of Traffic Flow Velocity Control Strategy for Human-machine Mixed Driving at Signalized Intersections[J]. Journal of System Simulation, 2022, 34(8): 1697-1709.

Figures/Tables 12

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Table 1

Delay reduction percentage under different road saturation

饱和度	$p c a v = 0.2$	$p c a v = 0.4$	$p c a v = 0.6$	$p c a v = 0.8$	$p c a v = 1.0$
20	-14.1	-18.9	-23.1	-35.7	-40.0
40	-10.0	-17.6	-21.0	-31.2	-38.7
60	-6.7	-17.5	-30.0	-33.5	-46.0
80	-10.2	-27.5	-39.0	-45.5	-53.7
100	-45.4	-61.3	-67.2	-72.6	-77.9

Table 1

Fig. 6

Table 2

Average delay reduction percentage under different road saturation when pcav=1

道路饱和度/%	$l k O$ /m	稳定后平均延误/s	无控制平均延误/s	延误下降比例/%
40	220	8.6	10.5	18.1
60	320	9.1	10.9	16.5
80	340	9.3	11.2	17.0
100	320	9.8	12	18.3

Table 2

Table 3

Average delay reduction percentage under different road saturation when pcav=0.8

道路饱和度/%	$l k O$ /m	稳定后平均延误/s	无控制平均延误/s	延误下降比例/%
40	240	9.3	11.2	17.0
60	280	10.2	11.4	10.5
80	320	10.8	12.9	16.3
100	340	11.7	13.7	14.6

Table 3

Table 4

Average delay reduction percentage under different road saturation when pcav=0.6

道路饱和度/%	$l k O$ /m	稳定后平均延误/s	无控制平均延误/s	延误下降比例/%
40	220	10.1	10.9	7.3
60	280	11.1	12.8	13.3
80	300	12.3	13.8	10.9
100	320	13.9	16.2	14.2

Table 4

Table 5

Average delay reduction percentage under different road saturation when pcav=0.4

道路饱和度/%	$l k O$ /m	稳定后平均延误/s	无控制平均延误/s	延误下降比例/%
40	240	10.8	12.1	10.7
60	260	12.1	13.9	12.9
80	320	14.0	15.6	10.3
100	360	17.0	19.4	12.4

Table 5

Table 6

Average delay reduction percentage under different road saturation when pcav=0.2

道路饱和度/%	$l k O$ /m	稳定后平均延误/s	无控制平均延误/s	延误下降比例/%
40	220	11.5	12.3	6.5
60	200	13.4	14.5	7.6
80	380	15.6	16.7	6.6
100	380	27	28.6	5.6

Table 6

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