交通信号与网联汽车速度协同优化方法研究

doi:10.19562/j.chinasae.qcgc.2024.12.013

Abstract

Abstract:

In order to improve the traffic efficiency at the signalized intersections and the fuel economy of vehicles， a cooperative optimization method of traffic signals and speed of connected vehicles considering the human driver error is proposed in this paper. In the traffic layer， by transforming the traffic signal optimization problem into a sequencing problem to find the optimal sequence of vehicles passing through the intersections， the optimal control model for traffic signal optimization is constructed and a traffic signal optimization algorithm based on dynamic planning is proposed. In the vehicle layer， the optimal control model for vehicle speed optimization is constructed by considering the influence of driver error， and a speed optimization algorithm based on fast stochastic model predictive control for connected vehicles is proposed. The simulation and intelligent connected micro-vehicle test results show that the co-optimization strategy proposed in this paper can effectively alleviate the deceleration and stopping of vehicles at intersections due to driver errors， and further reduce the travel time， idling time and fuel consumption of vehicles.

Key words: intelligent transportation, signalized intersections, cooperative control, human driver error

Xinyu Chen,Jian Chen,Lijun Qian,Qidong Wang. Research on Cooperative Optimization Method of Traffic Signal and Speed of Connected Vehicles[J].Automotive Engineering, 2024, 46(12): 2267-2278.

Figures/Tables 16

参数	符号	数值
整备质量/kg	$M$	1 680
迎风面积/m²	$A v$	2.25
空气阻力系数	$C D$	0.3
滚动阻力系数	$f$	0.01
最高车速/（m·s^-1）	$v m a x$	13.89
最低车速/（m·s^-1）	$v m i n$	0
最大加速度/（m·s^-2）	$a m a x$	3
最小加速度/（m·s^-2）	$a m i n$	-6

参数	符号	数值
采样时间/s	$t s$	0.5
预测时域/s	$t p$	7
场景树路径数量	$N s p$	500
权重系数1	$w 1$	800
权重系数2	$w 2$	15

References 18

1	HUANG Y H， NG E C Y， ZHOU J L， et al. Eco-driving technology for sustainable road transport： a review［J］. Renewable and Sustainable Energy Reviews， 2018， 93： 596-609.
2	BAI Z W， HAO P， WEI S G， et al. Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections［J］. IEEE Transactions on Intelligent Transportation Systems， 2022，23（9）： 15850-15863.
3	BAISRAVAN H C， ARDALAN V， PIERLUIGI P. Fast model predictive control-based fuel efficient control strategy for a group of connected vehicles in urban road conditions［J］. IEEE Transactions on Control Systems Technology， 2017.
4	刘春禹，刘永红，罗霞，等. 混合交通流环境下单交叉口自动驾驶车辆轨迹优化［J］. 交通运输系统工程与信息， 2022， 22（2）： 154-162.
	LIU C Y， LIU Y H， LUO X， et al. Trajectory optimization of connected vehicles at isolated intersection in mixed traffic environment［J］. Journal of Transportation Systems Engineering and Information Technology， 2022， 22（2）： 154-162.
5	GUO Q Q， LI L， BAN X G. Urban traffic signal control with connected and automated vehicles： a survey［J］. Transportation Research Part C： Emerging Technologies， 2019， 101： 313-334.
6	WAN N F， VAHIDI A， LUCKOW A. Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic［J］. Transportation Research Part C： Emerging Technologies， 2016， 69： 548-563.
7	LI M， WU X K， HE X Z， et al. An eco-driving system for electric vehicles with signal control under V2X environment［J］. Transportation Research Part C： Emerging Technologies， 2018， 93： 335-350.
8	LI Z F， ELEFTERIADOU L， RANKA S. Signal control optimization for automated vehicles at isolated signalized intersections［J］. Transportation Research Part C： Emerging Technologies， 2014， 49： 1-18.
9	XU B， BAN X J， BIAN Y G， et al. Cooperative method of traffic signal optimization and speed control of connected vehicles at isolated intersections［J］. IEEE Transactions on Intelligent Transportation Systems， 2019， 20（4）： 1390-1403.
10	MUSA A， PIPICELLI M， SPANO M， et al. A review of model predictive controls applied to advanced driver-assistance systems［J］. Energies， 2021， 14（23）： 1-24.
11	LI W， BAN X G. Connected vehicles based traffic signal timing optimization［J］. IEEE Transactions on Intelligent Transportation Systems， 2019， 20（12）： 4354-4366.
12	SUVRAJEET S， HEAD K L. Controlled optimization of phases at an intersection［J］. Transportation Science， 1997， 31（1）： 5-17.
13	HOU Y F， SELIMAN S M S， WANG E S， et al. Cooperative and integrated vehicle and intersection control for energy efficiency （CIVIC-E2）［J］. IEEE Transactions on Intelligent Transportation Systems， 2018， 19（7）： 2325-2337.
14	QI X W， WANG P， WU G Y， et al. Connected cooperative ecodriving system considering human driver error［J］. IEEE Transactions on Intelligent Transportation Systems， 2018， 19（8）： 2721-2733.
15	YU M， LONG J C. An eco-driving strategy for partially connected automated vehicles at a signalized intersection［J］. IEEE Transactions on Intelligent Transportation Systems， 2022， 23（9）： 15780-15793.
16	钱立军，陈晨，陈健. 无信控交叉口环境下考虑驾驶员误差的集中式轨迹规划［J］. 汽车工程，2023，45（5）：768-776，785.
	QIAN Lijun， CHEN Chen， CHEN Jian. Centralized trajectory planning in an unsignalized intersection environment considering driver error［J］. Automotive Engineering， 2023， 45（5）： 768-776.
17	WANG Y， BOYD S. Fast model predictive control using online optimization［J］. IEEE Transactions on Control Systems Technology， 2010， 18（2）： 267-278.
18	YU C， FENG Y， LIU H X， et al. Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections［J］.Transportation Research Part B： Methodological， 2018， 112（JUN.）：89-112.DOI：10.1016/j.trb.2018.04.007.

项目	FT-Gipps	FT-FSMPC	DP-FMPC	本文策略
行程时间/s	43.44	40.20	33.79	31.43
怠速时间/s	18.64	0.31	0.21	0.10
燃油消耗/mL	38.30	35.60	33.95	33.35

生态驾驶策略	耗电量/（×10^-2kW·h）
生态驾驶策略	车1	车2	车3	平均值
DP-FMPC	0.213 2	0.227 3	0.225 5	0.222 0
DP-FSMPC	0.162 1	0.157 4	0.169 7	0.163 1

[1]	Lijun Qian,Jian Chen,Feng Zhao,Xinyu Chen,Liang Xuan. Research on Fast Stochastic Model Predictive Control-Based Eco-Driving Strategy for Connected Mixed Platoons [J]. Automotive Engineering, 2024, 46(9): 1587-1599.
[2]	Yapeng Li,Xiaolin Tang,Xiaosong Hu. Study on Eco-driving of PHEVS Based on Hierarchical Control Strategy [J]. Automotive Engineering, 2023, 45(4): 551-560.
[3]	Manjiang Hu,Lingkun Bu,Hongmao Qin,Yan Zhou,Yougang Bian,Ning Sun,Xunjia Zheng. Modeling and Cooperative Control of Mixed Vehicle Platoon Under Multi-time Delay [J]. Automotive Engineering, 2022, 44(9): 1359-1371.
[4]	Liqun Peng,Yiting Wang,Yulin Ma,Xü Shucai. Cooperated Adaptive Cruise Control for Mixed Autonomous Traffic Flow [J]. Automotive Engineering, 2022, 44(8): 1153-1161.
[5]	Lisheng Jin,Yang He,Huanhuan Wang,Zhen Huo,Xianyi Xie,Baicang Guo. Point Cloud Segmentation Algorithm Based on Adaptive Threshold DBSCAN for Roadside LiDAR [J]. Automotive Engineering, 2022, 44(7): 987-996.
[6]	Shaobo Lu,Feifei Xie,Bohan Zhang,Jiafeng Lu,Caixia Li. Human-Vehicle Cooperative Game Collision Avoidance Based on Asymmetric Potential Fields [J]. Automotive Engineering, 2022, 44(10): 1484-1493.
[7]	Xiangmo Zhao,Xinrui Zhang,Runmin Wang,Zhigang Xu,Haijin Fan. Cooperative Optimization Control Method of Traffic Signals and Vehicle Trajectories at Connected Intersection [J]. Automotive Engineering, 2021, 43(11): 1577-1586.
[8]	Bian Chentong, Yin Guodong, Xu Liwei, Zhang Ning, Zhu Tong. Active Rescue System of Unmanned Vehicle Platoon in Fog Weather [J]. Automotive Engineering, 2020, 42(1): 20-26.
[9]	Liu Zhiqiang, Wu Xuegang, Ni Jie & Zhang Teng. Driving Intention Recognition Based on HMM and SVM Cascade Algorithm [J]. , 2018, 40(7): 858-.

Research on Cooperative Optimization Method of Traffic Signal and Speed of Connected Vehicles

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References 18

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