刘怿轩,张慧永,王猛,吴欢,宗芳

• 1:中汽研汽车检验中心(武汉)有限公司
• 2:一汽-大众汽车有限公司
• 3:技术开发部
• 4:中国科学院

摘要(Abstract)：

随着中国新基建战略的提出及自动驾驶和网联通信技术的不断发展，智能网联车辆（Connected and Automated Vehicle,CAV）、自动驾驶车辆（Autonomous Vehicle,AV）和人工驾驶车辆（Human-driven Vehicle,HDV）混行的状态将在未来一段时间内存在。在混行条件下，车辆间的交互影响模式将发生变化。本文以HDV跟驰AV的驾驶行为为研究对象，通过分析驾驶实验数据将跟驰AV时HDV的驾驶风格量化并分为迟疑型、平稳型和信赖型三类。同时考虑驾驶风格、车辆的转弯能力和转弯半径等参数改进智能驾驶人模型（Intelligent Driver Model,IDM），建立了前车为AV时的HDV跟驰模型。该模型通过对三类不同风格HDV跟驰AV时的驾驶参数的标定，能根据不同跟驰风格采取相应的跟驰策略。经数据拟合检验，该模型在启动加速、匀速行驶和制动减速阶段均能以较高精度拟合实际驾驶数据，其中直行跟驰的平均拟合精度为96.2%，转弯跟驰的平均拟合精度为91.4%。可见，本文提出的模型可以刻画HDV跟驰AV时的行为特征。在目前难以进行大规模混流实车实验的情况下，可用于混流条件下的跟驰行为仿真，也可为未来AV及HDV混行交通流的道路交通管理及基础设施设计等提供理论依据或模型基础。

关键词(KeyWords)： 交通工程;跟驰模型;混行交通流;驾驶风格;数值仿真

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目（61873109）

作者(Author): 刘怿轩,张慧永,王猛,吴欢,宗芳

DOI: 10.19961/j.cnki.1672-4747.2022.04.011

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