Abstract: To comprehensively understand the current research status, hotspots and development trends in the field of automotive event data recorder (EDR) systems, this study takes the relevant literature in the core database of China national knowledge infrastructure (CNKI) as the data source and conducts a visual analysis using CiteSpace. The research is carried out through methods such as keyword clustering, burst intensity analysis, and timeline graph. The results show that the number of research papers in the automotive EDR field is on the rise. Research hotspots focus on areas such as traffic accident reconstruction, accident replay, and acceleration. The key data of EDR, such as speed and braking, provide objective evidence for accident identification and responsibility determination, and help to identify driving risks and optimize safety strategies. The new hotspot is "acceleration", which reflects the control characteristics and algorithm safety of autonomous driving vehicles, reveals the energy transfer law at the moment of collision to assist in vehicle body safety design, and expands the dimension of EDR, providing key support for traffic technology innovation and vehicle safety upgrades.

Key words: automotive EDR technology; CiteSpace; knowledge graph; visual analysis; research hotspots

摘要： 为全面了解汽车事件数据记录（EDR）系统技术领域的研究现状、热点与发展趋势， 以中国知网（CNKI）核心数据库中相关文献为数据源，应用 CiteSpace 开展可视化分析，通 过关键词聚类、突现强度分析及时间线图谱展示等方法展开研究。结果显示，汽车 EDR 领域 研究发文量呈上升态势。研究热点聚焦交通事故重建、事故再现、加速度等领域，EDR 的速 度、制动等关键数据，为事故鉴定、责任划分提供客观依据，挖掘行驶风险优化安全策略。 新热点为“加速度”，其反映自动驾驶车辆操控特性与算法安全性，揭示碰撞瞬间能量传递规 律助力车身安全设计，拓展 EDR 维度，为交通技术创新与车辆安全升级提供关键支撑。

关键词: 汽车 EDR 技术；CiteSpace；知识图谱；可视化分析；研究热点