Exploring Temporal and Manufacturer-Specific Trends of Automated Vehicle Crashes Using Sequence of Events

IF 8.4 1区工程技术 Q1 ENGINEERING, CIVIL

IEEE Transactions on Intelligent Transportation Systems Pub Date : 2026-03-01 Epub Date: 2026-02-12 DOI:10.1109/TITS.2026.3659741

Cesar Andriola;Madhav V. Chitturi;David A. Noyce

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引用次数: 0

Abstract

The present study uses Crash Sequence Analysis to identify automated vehicles (AV) crash patterns and evaluate the temporal (2014 to 2023) and manufacturer-specific (Cruise or Waymo) trends in these patterns. This method builds upon the evaluation of crash scenarios by considering the sequential nature of crashes, incorporating crash progression and contributing factors. The results highlight the current challenge faced by manufacturers in designing systems that are safe yet perform in a manner expected by human drivers. The proportional reduction of crash patterns involving rear-end collisions during left or right turns suggests that actions were taken by manufacturers to address the aforementioned challenge. However, other crash patterns have shown a proportional increase in recent years, such as collisions with objects and on narrow roads, with specific variations by manufacturers. These findings provide key insights for shaping future AV development, guiding public sector decisions, and building public trust in automation.

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使用事件序列探索自动驾驶车辆碰撞的时间和制造商特定趋势

本研究使用碰撞序列分析来识别自动驾驶汽车（AV）的碰撞模式，并评估这些模式中的时间（2014年至2023年）和制造商特定（Cruise或Waymo）趋势。该方法通过考虑碰撞的顺序性，结合碰撞进程和促成因素，建立在碰撞场景评估的基础上。研究结果凸显了制造商目前面临的挑战，即如何设计既安全又符合人类驾驶员预期的系统。在左转弯或右转弯时，涉及追尾碰撞的碰撞模式的比例减少表明，制造商已采取行动应对上述挑战。然而，其他类型的撞车事故近年来呈比例增加，比如与物体碰撞和在狭窄道路上的碰撞，具体情况因制造商而异。这些发现为塑造未来自动驾驶发展、指导公共部门决策以及建立公众对自动化的信任提供了关键见解。

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

IEEE Transactions on Intelligent Transportation Systems 工程技术-工程：电子与电气

CiteScore

14.80

自引率

12.90%

发文量

1872

审稿时长

7.5 months

期刊介绍： The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical activities among IEEE entities, and providing a focus for cooperative activities, both internally and externally.