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开发基于高速公路的测试场景,以将新车评估计划应用于自动驾驶车辆。

Development of freeway-based test scenarios for applying new car assessment program to automated vehicles.

机构信息

Department of Transportation System Engineering, Ajou University, Suwon, Republic of Korea.

Department of Road Transport Research, Korea Transport Institute, Sejong, Republic of Korea.

出版信息

PLoS One. 2022 Jul 21;17(7):e0271532. doi: 10.1371/journal.pone.0271532. eCollection 2022.

Abstract

As automated driving technology continues to develop, studies are being conducted to develop various scenarios for assessing the functional safety, failure safety, and mobility of automated vehicles (AVs). As the commercialization of AVs progresses, it is necessary to develop a set of test scenarios for new car assessment programs (NCAPs), so as to provide information on the safety and reliability of AVs to consumers. To provide valuable information regarding newly emerged AVs to consumers who are willing to purchase them, it is necessary to derive specific and well-defined test scenarios based on the safety-in-use. Accordingly, to apply NCAPs to AVs, this study established test scenarios targeting freeways where AVs were expected to be commercialized. To this end, based on freeway traffic accident data and opinions of traffic safety and AV experts, we derived possible dangerous situations when an AV is maintaining a lane on a freeway. Functional scenarios were defined based on the derived dangerous situations. The priority of the defined functional scenarios was set using the analytic hierarchy process (AHP). Accordingly, this study presents a logical and concrete scenario construction methodology for deriving the ranges and values of test parameters for functional scenarios.

摘要

随着自动驾驶技术的不断发展,正在进行各种研究,以开发评估自动驾驶汽车(AV)功能安全、故障安全和机动性的各种场景。随着 AV 的商业化进程的推进,有必要为新车评估计划(NCAP)开发一套测试场景,以便为消费者提供有关 AV 的安全性和可靠性的信息。为了向愿意购买新兴 AV 的消费者提供有关这些车辆的有价值信息,有必要根据使用安全性来制定具体且明确的测试场景。因此,为了将 NCAP 应用于 AV,本研究建立了针对预计将商业化的高速公路的测试场景。为此,基于高速公路交通事故数据和交通安全与 AV 专家的意见,我们得出了 AV 在高速公路上保持车道时可能出现的危险情况。基于推导的危险情况定义了功能场景。使用层次分析法(AHP)确定了定义的功能场景的优先级。因此,本研究提出了一种逻辑和具体的场景构建方法,用于推导功能场景的测试参数的范围和值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/9302810/27da2333ddec/pone.0271532.g001.jpg

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