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面向混合车队稳定性提升的智能网联车辆跟驰模型研究

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为提升混合车队稳定性,研究了智能网联车辆的跟驰模型.先针对智能网联车辆原模型存在的缺陷问题,从车辆期望车头间距以及多前车信息反馈的角度,提出改进的智能网联车辆跟驰模型;后定义混合车队类型,并推导模型改进前后混合车队关于车队规模与车流速度的稳定性判别准则;再应用所推导的混合车队稳定性判别准则,对比分析模型改进前后智能网联车辆对混合车队稳定性的提升作用.研究结果表明:相较原模型,改进模型可显著缩减混合车队不稳定区域,可将混合车队在全速度范围内稳定时的最大车队规模提升 54.55%以上.研究结果可为未来智能网联车辆的模型仿真分析及管理提供参考.
Car-following Model Research of Intelligent Connected Vehicles for Improving Stability of Mixed Platoon
To improve stability of mixed platoon,car-following model of intelligent connected vehicles was studied.Firstly,focusing on shortcomings of original model of connected automated vehicles,an improved car-following model of connected automated vehicles was proposed,from the perspective of desired spacing and feedback information from multiple vehicles.Then the mixed platoon was defined,based on which stability criterions related with scale and speed were derived under the original and improved models.Finally,the stability criterions were used to compare impacts of the original and improved models on stability of the mixed platoon.Research results show that compared with the original model,the improved model can obviously reduce instability regions of the mixed platoon.Moreover,the improved model can increase the platoon scale by 54.55%at least,in which the mixed platoon will be still stable for all possible speed.Results obtained in this paper can provide a reference for simulations and management of connected automated vehicles in the future.

traffic engineeringcar-following modelstabilitymixed platoonintelligent connected vehicles

苟海波、徐霈

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招商中铁控股有限公司,南宁 530000

招商局重庆交通科研设计院有限公司,重庆 400067

交通工程 跟驰模型 稳定性 混合车队 智能网联车辆

2024

公路交通技术
重庆交通科研设计院

公路交通技术

影响因子:0.552
ISSN:1009-6477
年,卷(期):2024.40(6)