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Safety challenges for autonomous vehicles in the absence of connectivity

机译:在没有连接的情况下自治车辆的安全挑战

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摘要

Autonomous vehicles (AVs) are promoted as a technology that will create a future with effortless driving and virtually no traffic accidents. AV companies claim that, when fully developed, the technology will eliminate 94% of all accidents that are caused by human error. Indeed, these AVs will likely avoid the large number of crashes caused by impaired, distracted or reckless drivers. But there remains a significant proportion of crashes for which no driver is directly responsible. In particular, the absence of connectivity of an AV with its neighboring vehicles (V2V) and the infrastructure (I2V) leads to a lack of information that can induce such crashes. Since AV designs today do not require such connectivity, these crashes would persist in the future. Using prototypical examples motivated by the NHTSA pre-crash scenario typology, we show that fully autonomous vehicles cannot guarantee safety in the absence of connectivity. Combining theoretical models and empirical data, we also argue that such hazardous scenarios will occur with a significantly high probability. This suggests that incorporating connectivity is an essential step on the path towards safe AV technology.
机译:自治车辆(AVS)被推广为一种技术,将创造一个毫不费力的驾驶和几乎没有交通事故的未来。 AV公司声称,在完全开发的情况下,该技术将消除由人类错误引起的所有事故的94%。实际上,这些AVS可能会避免由于受损,分心或鲁莽的司机造成的大量崩溃。但仍有很大比例的崩溃,没有驾驶员直接责任。特别地,没有与其相邻车辆(V2V)的连接和基础设施(I2V)的连接,导致缺乏可以造成这种碰撞的信息。由于今天的AV设计不需要这样的连接,因此这些崩溃将在未来持续存在。使用由NHTSA预崩溃方案类型的型激励的原型示例,我们表明,完全自主车辆无法保证在没有连接的情况下的安全性。结合理论模型和经验数据,我们还认为这种危险场景将以显着高的概率发生。这表明结合连接是安全AV技术路径的重要步骤。

著录项

  • 来源
    《Transportation research》 |2021年第7期|103133.1-103133.20|共20页
  • 作者单位

    Univ Calif Berkeley Berkeley CA 94720 USA;

    Univ Calif Berkeley Berkeley CA 94720 USA;

    Univ Calif Berkeley Berkeley CA 94720 USA;

    Univ Calif Berkeley Berkeley CA 94720 USA;

    Univ Calif Berkeley Berkeley CA 94720 USA;

    Univ Calif Berkeley Berkeley CA 94720 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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