研究自动驾驶安全评估场景目录的潜力，以涵盖现实世界的碰撞

Q3 Engineering

International Journal of Automotive Engineering Pub Date : 2023-01-01 DOI:10.20485/jsaeijae.14.4_92

Marko Medojevic, Hisashi Imanaga, Jacobo Antona-Makoshi, Maki Kawakoshi, Hideaki Satoh

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引用次数: 0

摘要

自动驾驶安全评估主要依赖于基于场景的方法。在本研究中，作者采用JAMA最初设想的功能场景目录来评估有限通道高速公路上的自动驾驶安全性。通过将目录中的每个场景与来自两个国际数据源的碰撞模式进行比较，研究了该目录涵盖现实世界碰撞的潜力:2007年NHTSA的碰撞前场景类型研究报告和2020年IGLAD的代码本。结果表明，场景目录有潜力全面覆盖NHTSA和IGLAD的碰撞场景类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Investigating the Potential of a Scenario Catalogue for Automated Driving Safety Evaluation to Cover Real-World Crashes

Automated driving safety evaluation predominantly relies on scenario-based approaches. In this study, the authors adopt a functional scenario catalogue initially conceived by JAMA to evaluate automated driving safety on limited access highways. The potential of this catalogue to cover real-world crashes was investigated by comparing each scenario in the catalogue with crash patterns from two international data sources: the 2007 NHTSA’s pre-crash scenario typology for crash avoidance research report, and the 2020 IGLAD’s codebook. The results indicate the potential of the scenario catalogue to comprehensively cover both the NHTSA and the IGLAD crash scenario typologies.

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来源期刊

International Journal of Automotive Engineering Engineering-Safety, Risk, Reliability and Quality

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： The IJAE aims to cover all the main areas of automotive engineering. -Heat engine -Power transmission -Vehicle dynamics -Vehicle development -Vibration , noise , ride comfort -Heat , fluid -Materials -Social system -Common infrastructure -Other means of mobility -EV , HV systems -Electronics and control -Transportation systems -Autonomous vehicle technology -Information & Communication Technology -Information security -Safety -Human engineering -Environment , energy , resources -Production , manufacture