乔洁,康志刚,赵昱博,王鹏

• 1:长安大学
• 2:中国汽车技术研究中心有限公司

摘要(Abstract)：

在公路行驶场景中，为准确评估自动紧急制动（AEB）系统在不同负载条件下对于介入时机的决策精准性，基于中国交通事故深度调查（CIDAS）数据库筛选255起商用车公路追尾碰撞案例，采用层次聚类算法提取典型场景。聚类变量涵盖交通环境（天气、道路、光照、附着条件）、本车类型、事故前状态及碰撞特征（负载状态、运动状态、碰撞部位、初始速度经离散化处理为低、中、高、极高4个速度区间）、目标车类型及运动状态。聚类后获得4类高代表性测试场景，创新性地将负载状态作为关键聚类变量纳入事故数据结构分析，并结合车辆动力学原理讨论负载对制动距离与AEB响应阈值的影响，使得提取的典型场景能够同时反映事故数据中的统计规律与商用车制动特性的实际规律，弥补了现有研究对负载因素考量不足的缺陷。所构建场景满足UN R131法规要求，并进一步扩展至超法规车速和偏置重叠工况，显著增强了对中国公路复杂交通环境的适应性，为商用车AEB开发、性能优化及标准制修订提供了科学依据。

关键词(KeyWords)：

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目（2021YFB2501202）;; 咸阳市重大科技创新专项（L2025-ZDKJ-ZDGG-RGZN-003）;; 咸阳市渭城区科技发展计划项目（2025VCCN-03）

作者(Author): 乔洁,康志刚,赵昱博,王鹏

DOI: 10.19620/j.cnki.1000-3703.20250836

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