C-V2X网联环境下应急优先的绿灯补偿模型研究

doi:10.11959/j.issn.1000-0801.2024003

摘要/Abstract

摘要：

针对在路口实施应急车辆优先策略会对非优先相位交通造成影响的问题，在蜂窝车联网（C-V2X）环境下进行了均衡非优先相位通行效益的绿灯补偿模型研究。搭建了相应的算法模型，并对一辆应急车辆的场景进行了模拟。该模型在不影响应急车辆优先通行的前提下，根据非优先相位实时交通需求计算补偿绿灯时间，从而最小化应急优先对非优先相位的车辆通行影响。仿真结果证明，所提模型在不同的饱和度状态下均可有效地降低应急车辆通过后非优先相位车辆的平均延误时间和平均排队长度。所提模型对于应急车辆通过红绿灯路口的策略进行了优化，提高了通行效率。

关键词: 应急车辆优先, C-V2X, 非优先相位, 绿灯补偿, 排队长度

Abstract:

To reduce the impact of the emergency vehicle preemption strategy on vehicles in non-priority phases at intersections, an emergency preemption green light compensation model in C-V2X environment was proposed.The proposed model doesn’t affect the emergency vehicle preemption strategy.The green time of the non-priority phases was calculated according to the real-time traffic demand to minimize the adverse impact on vehicles in non-priority phases.The proposed model was verified with simulation using an emergency vehicle.The results demonstrate that the proposed method can effectively decrease the queue lengths and reduce the average delay in non-priority phases after applying the emergency vehicle preemption strategy.The proposed method can improve traffic efficiency by optimizing the signal timing after the emergency vehicle passes through an intersection.

Key words: emergency vehicle preemption, C-V2X, non-priority phase, green light compensation, queue length

中图分类号:

TP393

张长隆, 韩发荣, 魏吉敏, 戴金钢, 杨晓东, 瞿仕波. C-V2X网联环境下应急优先的绿灯补偿模型研究[J]. 电信科学, 2024, 40(1): 59-70.

Changlong ZHANG, Farong HAN, Jimin WEI, Jingang DAI, Xiaodong YANG, Shibo QU. Research on green light compensation model for emergency preemption in C-V2X environment[J]. Telecommunications Science, 2024, 40(1): 59-70.

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统计次数编号	统计时间间隔/s	每次统计间隔新增排队车辆数	每次统计间隔驶离车辆数	每次统计间隔的累计排队车辆数（IQA）	每次统计间隔的累计延误（IQA×Δ）
1	0～2	1	0	1	2	红灯开始
2	2～4	1	0	2	4
3	4～6	1	0	3	6
4	6～8	1	0	4	8
5	8～10	1	0	5	10
6	10～12	1	0	6	12
7	12～14	1	2	5	10	绿灯开始
8	14～16	1	2	4	8
9	16～18	1	2	3	6
10	18～20	1	2	2	4
11	20～22	1	2	1	2
12	22～24	1	2	0	0
	合计	12	12	36	72

参数名称	参数取值
种群大小	50
进化次数	300
交叉概率	0.8
生成函数	Uniform Distribution
选择函数	Stochastic Uniform Selection
交叉函数	Scattered Crossover
变异函数	Adaptive Feasible Mutation

序号	v/c=0.7		v/c=0.8		v/c=0.9		v/c=1.0
序号	EVP-NC	EVP-DC	EVP-NC	EVP-DC	EVP-NC	EVP-DC	EVP-NC	EVP-DC
1	52.05	38.86	57.30	45.26	67.90	55.75	67.23	57.13
2	56.00	45.55	59.00	53.56	62.53	43.23	69.61	62.33
3	50.70	39.30	49.54	44.70	63.35	62.00	66.44	65.80
4	61.60	40.67	61.93	56.32	68.35	55.28	67.13	58.40
5	49.92	43.75	56.23	45.61	57.62	39.80	73.15	79.50
6	42.76	47.85	60.98	48.02	57.17	56.74	64.36	68.42
7	56.95	48.15	64.28	52.64	65.27	51.07	67.05	54.40
均值	52.85	43.45	58.47	49.44	63.17	51.98	67.85	63.71
优化	↓17.79%		↓15.43%		↓17.71%		↓6.11%