A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions

IF 5.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Amit Chougule;Vinay Chamola;Aishwarya Sam;Fei Richard Yu;Biplab Sikdar
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引用次数: 0

Abstract

The emergence of autonomous driving represents a pivotal milestone in the evolution of the transportation system, integrating seamlessly into the daily lives of individuals due to its array of advantages over conventional vehicles. However, self-driving cars pose numerous challenges contributing to accidents and injuries annually. This paper aims to comprehensively examine the limitations inherent in autonomous driving and their consequential impact on accidents and collisions. Using data from the DMV, NMVCCS, and NHTSA, the paper reveals the key factors behind self-driving car accidents. It delves into prevalent limitations faced by self-driving cars, encompassing issues like adverse weather conditions, susceptibility to hacking, data security concerns, technological efficacy, testing and validation intricacies, information handling, and connectivity glitches. By meticulously analyzing reported accidents involving self-driving cars during the period spanning 2019 to 2022, the research evaluates statistical data pertaining to fatalities and injuries across diverse accident classifications. Additionally, the paper delves into the ethical and regulatory dimensions associated with autonomous driving, accentuating the legal complexities that arise from accidents involving self-driving vehicles. This review assists researchers and professionals by identifying current autonomous driving limitations and offering insights for safer adoption. Addressing these limitations through research can transform transportation systems for the better.
全面评述自动驾驶的局限性及其对事故和碰撞的影响
自动驾驶汽车的出现是交通系统发展史上的一个重要里程碑,与传统汽车相比,自动驾驶汽车具有一系列优势,可以无缝融入人们的日常生活。然而,自动驾驶汽车也带来了诸多挑战,每年都会造成交通事故和人员伤亡。本文旨在全面研究自动驾驶汽车固有的局限性及其对事故和碰撞的影响。本文利用 DMV、NMVCCS 和 NHTSA 的数据,揭示了自动驾驶汽车事故背后的关键因素。它深入探讨了自动驾驶汽车面临的普遍限制,包括恶劣天气条件、易受黑客攻击、数据安全问题、技术功效、测试和验证的复杂性、信息处理和连接故障等问题。通过细致分析 2019 年至 2022 年期间报告的涉及自动驾驶汽车的事故,该研究评估了不同事故分类的伤亡统计数据。此外,本文还深入探讨了与自动驾驶相关的伦理和监管问题,强调了涉及自动驾驶汽车事故的法律复杂性。本综述为研究人员和专业人士提供了帮助,指出了当前自动驾驶的局限性,并为更安全地采用自动驾驶提供了见解。通过研究解决这些局限性可以更好地改造交通系统。
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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来源期刊
CiteScore
9.60
自引率
0.00%
发文量
25
审稿时长
10 weeks
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