A cooperative lane change control strategy for cooperative adaptive cruise control platoons with insufficient headway gaps

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2024-10-18 DOI:10.1016/j.physa.2024.130175
Yanduo Yin, Zhibo Gao, Kejun Long, Yi Fei
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Abstract

Cooperative Adaptive Cruise Control (CACC) platoons contribute to enhancing road traffic safety and efficiency. However, creating suitable headway gaps for CACC platoons to change lanes is a challenge. This paper proposes a cooperative lane change control strategy for CACC platoons in mixed traffic environments where suitable headway gaps on the target lane are insufficient. Firstly, a cooperative longitudinal and lateral control strategy for CACC platoons is designed. Once longitudinal control ensures that the headway gap on the target lane meets the criteria, the vehicles are controlled to complete the lane change and resume cruising in their original formation. To achieve the longitudinal control objectives of gap generation by cooperative deceleration before lane change and cruising after lane change, a longitudinal cooperative control strategy that can independently create the lane change gap is proposed based on an adaptive weight model predictive control. Finally, the lane change headway gaps in the proposed strategy are generated sequentially for each vehicle, a contrast experiment is designed where the lane change headway gap is generated once and vehicles change lanes simultaneously. The effectiveness of the proposed strategy is validated through numerical simulation combining CarSim and Matlab/Simulink. The results show that the CACC platoon completed the lane change successfully under the control of the proposed strategy. Compared to the contrast simulation, in both low-speed and high-speed highway scenarios, the average speed standard deviation under the proposed strategy is reduced by 48.3 % and 39.9 % respectively, while the average comfort index decreases by 11.7 % and 5.9 %.
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针对间距不足的合作式自适应巡航控制排的合作式变道控制策略
协同自适应巡航控制系统(CACC)排车有助于提高道路交通安全和效率。然而,为 CACC 排创造合适的换道间隙是一项挑战。本文提出了在混合交通环境中,目标车道上合适的车头间距不足时的 CACC 排协同变道控制策略。首先,本文设计了 CACC 排的纵向和横向合作控制策略。一旦纵向控制确保目标车道上的车头间距符合标准,就会控制车辆完成变道,并恢复原队形巡航。为实现变道前协同减速产生间隙和变道后巡航的纵向控制目标,提出了一种基于自适应权重模型预测控制的纵向协同控制策略,该策略可独立产生变道间隙。最后,所提策略中的变道间隙是按顺序为每辆车生成的,设计了一个对比实验,即变道间隙一次生成,车辆同时变道。通过结合 CarSim 和 Matlab/Simulink 进行数值模拟,验证了所提策略的有效性。结果表明,CACC 排在提议策略的控制下成功完成了变道。与对比模拟相比,在低速和高速两种高速公路场景下,拟议策略下的平均速度标准偏差分别降低了 48.3 % 和 39.9 %,平均舒适度指数分别降低了 11.7 % 和 5.9 %。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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