Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (10): 2606-2616.doi: 10.13229/j.cnki.jdxbgxb.20250374

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Joint optimization method of signal phase and vehicle trajectory at connected intersections

Xian-cai JIANG(),Xing MA,Zi-hao GUO   

  1. School of Civil Engineering and Transportation,Northeast Forestry University,Harbin 150040,China
  • Received:2025-04-27 Online:2026-10-01 Published:2026-10-09

Abstract:

In order to improve the lag response of traditional signal control methods to real-time fluctuations of traffic flow, a joint optimization method of intersection signal phase and vehicle trajectory in a connected environment was proposed. By collaboratively optimizing the vehicle trajectory and signal phase timing scheme, it can dynamically adapt to traffic flow fluctuations and achieve the purpose of improving the traffic efficiency of intersections. The simulation results show that compared with the signal control strategy without trajectory optimization, the proposed method can reduce the average vehicle delay by 6.45%~16.42% and the parking rate by 2.36%~8.39%. In the scenario of large random fluctuation of traffic flow, the performance of the collaborative optimization method is more stable than that of the mixed integer linear programming. Further analysis shows that the higher the penetration rate of connected vehicles, the more significant the control effectiveness of the proposed method.

Key words: intelligent transportation, signal phase, vehicle trajectory, traffic flow fluctuations, connected vehicles

CLC Number: 

  • U491

Fig.1

Schematic of JOM-SPVT optimization"

Fig.2

Schematic diagram of JOM-SPVT phase construction"

Fig.3

Schematic of vehicle trajectory optimization"

Fig.4

Schematic of simplified vehicle trajectory optimization"

Fig.5

JOM-SPVT optimizes the process"

Table 1

Simulation parameters"

参 数取值
道路限速/(m·s-1)16
最低限速/(m·s-1)5
交叉口限速/(m·s-1)11
最大加速度/(m·s-2)4
期望加速度/(m·s-2)3
车辆长度/m4
直行及右转车流最短绿灯时间/s15
直行及右转车流最长绿灯时间/s70
左转车流最短绿灯时间/s12
左转车流最长绿灯时间/s36
基准东西左转相位绿灯时间/s20
基准东西直行及右转相位绿灯时间/s40
基准南北左转相位绿灯时间/s25
基准南北直行及右转相位绿灯时间/s48
连续车流之间的安全距离/m3.6
CAV反应时间/s0.1
CHV反应时间/s1
CAV-CAV和CHV-CAV饱和车头时距/s1
CAV-CHV和CHV-CHV饱和车头时距/s2
CHV平均速度/(m·s-1)10
仿真时长/s3 600

Table 2

Traffic flow at each entrance road"

进口道左转直行与右转
CHVCAVCHVCAV
东7582360690
南6691385530
西8876356610
北8599368663

Table 3

Average vehicle delay and stopping rate"

流量方案进口相位进口相位
1234
低BCM东22.0/0.8122.5/0.82南24.1/0.8323.2/0.80
西22.9/0.8323.7/0.79北24.4/0.8122.7/0.75
JOM-SPVT东18.9/0.7318.3/0.71南20.2/0.7519.4/0.72
西18.4/0.7419.5/0.72北18.8/0.7721.3/0.76
中BCM东30.2/0.8631.7/0.86南31.4/0.8532.6/0.86
西31.2/0.8732.5/0.85北32.1/0.8732.2/0.88
JOM-SPVT东29.3/0.8125.0/0.83南26.0/0.8227.3/0.81
西28.7/0.7926.3/0.81北26.3/0.7826.7/0.77
高BCM东36.4/0.9337.3/0.92南35.7/0.9036.6/0.92
西35.4/0.9432.7/0.92北34.4/0.9133.5/0.93
JOM-SPVT东34.0/0.8931.0/0.92南35.1/0.9030.8/0.88
西33.9/0.9034.2/0.91北32.0/0.8932.8/0.91

Fig.6

Trajectory optimization comparison"

Fig.7

Average vehicle delay variation trends of different schemes under negative binomial distribution"

Fig.8

Effect of the asymmetry coefficient threshold of east-west straight phase on average vehicle delay"

Fig.9

Impact of CAV penetration on delays"

Fig.10

Effect of CAV penetration on parking rates"

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