高速公路雾天人工和智能网联车混行交通流仿真

doi:10.16265/j.cnki.issn1003-3033.2022.07.1109

中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (7): 158-164.doi: 10.16265/j.cnki.issn1003-3033.2022.07.1109

高速公路雾天人工和智能网联车混行交通流仿真

冯凤江¹(), 程新平¹, 孙晓宁²

1 河北上元智能科技股份有限公司, 河北石家庄 050000
2 京张高速公路有限公司, 河北张家口 075000

收稿日期:2022-01-07 修回日期:2022-05-15 出版日期:2022-08-12 发布日期:2023-01-28
作者简介:
作者简介：冯凤江 (1981—),男,河北石家庄人,本科,工程师,主要从事交通安全、智能交通系统方面的工作。E-mail: shangyuanay@126.com。
程新平, 高级工程师
孙晓宁, 工程师
基金资助:
国家自然科学基金资助(50478088); 河北省高等学校科学技术研究项目(ZD2021028)

Simulation of mixed traffic flow with HVs and CAVs on freeways in foggy weather

FENG Fengjiang¹(), CHENG Xinping¹, SUN Xiaoning²

1 Hebei Shangyuan Intelligent Technology Co., Ltd., Shijiazhuang Hebei 050000, China
2 Beijing Zhangjiakou Expressway Co., Ltd., Zhangjiakou Hebei 075000, China

Received:2022-01-07 Revised:2022-05-15 Online:2022-08-12 Published:2023-01-28

摘要/Abstract

摘要：

为提高雾天行车安全性,以智慧高速主线为研究对象,分析混行下能见度降低造成安全速度下降、智能网联车(CAVs)驾驶模式降级和换道动机趋于保守的驾驶行为变化情况,建立含纵向跟驰和横向换道规则雾天单向高速公路元胞自动机模型(CAM),通过仿真对模型予以校验,并分析交通流特性和事故概率。结果表明:轻雾、中雾、重雾和浓雾时,车辆降级占比为52.3%、60%、63%和67.3%,2 h换道次数为161、131、104.3和69(×10² veh),自由流最大速度为90、76.8、62.6、46.8 km/h,临界密度为42、40、38、36 veh/km,且随渗透率变小愈加明显;事故概率随渗透率变大而大幅减少,渗透率达到50%以上时,事故概率较人工车辆(HVs)下降不低于52.9%。

关键词: 高速公路, 雾天, 智能网联车(CAVs), 人工车辆(HVs), 元胞自动机模型(CAM), 混合交通流

Abstract:

In order to improve driving safety in foggy weather, with a section of smart freeway as a research object, changes in driving behaviors under mixed traffic flow were analyzed, including decrease of safe speed, degradation of CAVs driving mode, and conservative lane-changing due to decrease in visibility. Then, a CAM of one-way freeway was established, where rules of longitudinal car-following and lateral lane-changing were designed. Finally, the model was validated through simulation, and traffic flow characteristics and accident probabilities were analyzed. The results indicate that under light fog, medium fog, heavy fog and dense fog conditions, the degradation ratios of CAVs are 52.3%, 60%, 63%, and 67.3%, lane-changing times during two hours are 161, 131, 104.3 and 69 (×10² veh), maximum free flow velocity is 90, 76.8, 62.6 and 46.8 km/h, and critical density is 42, 40, 38 and 36 veh/km, respectively, and they become more and more obvious with the decrease of permeability. Moreover, accident probability decreases greatly with increase of permeability, and it reduces by at least 52.9% when penetration reaches 50% compared to HVs environment.

Key words: freeway, foggy weather, connected and automated vehicles (CAVs), human vehicles (HVs), cellular automaton model (CAM), mixed traffic flow

冯凤江, 程新平, 孙晓宁. 高速公路雾天人工和智能网联车混行交通流仿真[J]. 中国安全科学学报, 2022, 32(7): 158-164.

FENG Fengjiang, CHENG Xinping, SUN Xiaoning. Simulation of mixed traffic flow with HVs and CAVs on freeways in foggy weather[J]. China Safety Science Journal, 2022, 32(7): 158-164.

图/表 5

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雾气环境	轻雾			中雾			重雾			浓雾
渗透率/%	75	50	25	75	50	25	75	50	25	75	50	25
降级CAV比例/%	0.3	0.45	0.82	0.36	0.6	0.84	0.4	0.64	0.85	0.48	0.67	0.87
换道次数/10² veh	260	152	71	210	123	60	187	89	37	105	70	32

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高速公路雾天人工和智能网联车混行交通流仿真

Simulation of mixed traffic flow with HVs and CAVs on freeways in foggy weather

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