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ICV跟驰模型优化及稳定性分析

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针对智能网联车辆(intelligent and connected vehicle,ICV)跟驰建模中基于恒定车头时距的问题,文中在考虑可变车头时距下对期望车头间距做出了新的描述,优化ICV跟驰模型的车头间距模型结构.拟定了车辆跟驰行驶中期望车头时距的一般函数形式及适用范围,论证了基于所提模型的参数物理含义,理论推导了稳定态与动态两种交通流下的稳定性条件.在以前车为干扰条件下通过MATLAB数值仿真实验对比模型改进前后稳定性.结果表明:新的ICV模型具备比原ICV模型更良好的稳定性,且在0～33.3 m/s速度范围内均保持稳定,同时可以比原ICV模型更有效地抑制不稳定流的传播,更好地描述期望车头间距与车速的非线性关系,更加真实地反映实际交通流跟驰特征.
ICV Follow-up Model Optimization and Stability Analysis
Aiming at the problem that the car-following model of intelligent and connected vehicle(ICV)was based on constant headway,a new description of expected headway was given considering variable headway,and the headway model structure of ICV car-following model was optimized.The general function form and application scope of expected headway in car-following were drawn up.The physical meaning of parameters based on the proposed model was demonstrated,and the stability con-ditions under steady and dynamic traffic flows were theoretically derived.Under the interference of the preceding vehicle,the stability of the model before and after improvement was compared by MAT-LAB numerical simulation experiments.The results show that the new ICV model has better stability than the original ICV model,and the improved model is stable in the speed range of 0～33.3 m/s.At the same time,it can restrain the spread of unstable flow more effectively than the original ICV model,and can better describe the nonlinear relationship between expected headway and vehicle speed,and more truly reflect the car-following characteristics of actual traffic flow.

intelligent networked vehiclesfollow-up modelingvariable nose time spacingstabilitynumerical simulation

宋成举、张夏杰、程国柱

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东北林业大学土木与交通学院 哈尔滨 150040

智能网联车辆 跟驰建模 可变车头时距 稳定性 数值仿真

黑龙江省自然科学基金黑龙江省普通本科高等学校青年创新人才培养计划黑龙江省省属本科高校基本科研业务费科研项目中央高校基本科研业务费专项

LH2020G002UNPYSCT-20180902018CX082572020BG02

2024

10.3963/j.issn.2095-3844.2024.05.001

武汉理工大学学报(交通科学与工程版)
武汉理工大学

武汉理工大学学报(交通科学与工程版)

CSTPCD
影响因子：0.462
ISSN：2095-3844
年,卷(期)：2024.48(5)
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