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Updated: Jun 4, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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积极道路安全的实时风险估计:利用Waymo AV传感器数据与层次化的贝叶斯极端值模型

Mohammad Anis1, Sixu Li1, Srinivas R Geedipally2

  • 1Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.

Accident; analysis and prevention
|January 1, 2025
PubMed
概括

本研究引入了使用极端价值理论 (EVT) 和自动驾驶汽车数据的新实时交通风险模型. 先进的模型准确地估计了近乎失误的事件,改进了交通安全分析.

关键词:
2D TTC 在 2D TTC 中.视听传感器数据 视听传感器数据活动安全 活动安全 活动安全极端价值理论是一个极端价值理论.层次化的贝叶斯结构贝叶斯结构.几乎失败的近乎失败.实时实时的时间.车辆动力学 车辆动力学

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