自动驾驶汽车功能能力的可靠性分析

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Brain Ndlovu, M. Ayomoh
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引用次数: 0

摘要

自动驾驶汽车(AV)的可靠性是一个备受关注的研究领域,涵盖了各种各样的研究人员、智能汽车行业的领导者、政府机构和技术爱好者。尽管过去曾记录过因致命事故而引起的担忧,但文献中并未广泛探讨AVs的可靠性。尽管AVs已经存在了十多年,但尚未达到经认证的商业级部署。由于AV的自我操作带来的复杂性,意味着可靠性的可信度问题变得不可避免。为了解决这一问题,使用系统工程概念设计原则对功能元素进行了识别、分析和分类,并将其与道路交通规则联系起来。此外,通过整合交通规则,对使用选定行业的各种开发车辆的电动汽车的可靠性进行了评估。可靠性分析是在概率绘图方法的前提下,使用寿命到失效数据进行的。研究发现,自动驾驶汽车在驾驶20分钟内至少有一项交通规则不合格的可能性为99.94%。此外,AVs的危险率呈上升趋势,这意味着事故的发生率很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability Analysis of the Functional Capabilities of an Autonomous Vehicle
The reliability of autonomous vehicles (AVs) is a research domain of high interest, covering a diverse pool of researchers, captains of smart auto industries, government agencies, and technology enthusiasts. The reliability of AVs is not extensively explored in the literature, despite the apprehension due to fatal accidents recorded in the past. Despite being in existence for over a decade, AVs have yet to reach a certified commercial-level deployment. Due to the complexity that comes with the self-operation of an AV, the issue of trustworthiness, which signifies reliability, becomes inevitable. The identification, analysis, and categorization of functional elements using systems engineering conceptual design principles and the linkage of these to the road traffic rules were conducted to address this. Also, the evaluation of the reliability of AVs using various developed vehicles from selected industries was addressed by integrating the traffic rules. The analysis of reliability was carried out using life-to-failure data premised on the probability plotting approach. It was found that there is a 99.94% chance that an autonomous vehicle will fail at least one of the traffic rules within 20 minutes of driving. Furthermore, the hazard rate of AVs was found to be on the rise, meaning a high indication of accidents.
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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