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首页> 外文期刊>Decision support systems >Preventing traffic accidents with in-vehicle decision support systems - The impact of accident hotspot warnings on driver behaviour
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Preventing traffic accidents with in-vehicle decision support systems - The impact of accident hotspot warnings on driver behaviour

机译：车载决策支持系统预防交通事故-事故热点警告对驾驶员行为的影响

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摘要

Despite continuous investment in road and vehicle safety, as well as improvements in technology standards, the total amount of road traffic accidents has been increasing over the last decades. Consequently, identifying ways of effectively reducing the frequency and severity of traffic accidents is of utmost importance. In light of the depicted challenge, latest studies provide promising evidence that in-vehicle decision support systems (DSSs) can have significant positive effects on driving behaviour and collision avoidance. Going beyond existing research, we developed a comprehensive in-vehicle DSS, which provides accident hotspot warnings to drivers based on location analytics applied to a national historical accident dataset, composed of over 266,000 accidents. As such, we depict the design and field evaluation of an in-vehicle DSS, bridging the gap between real world location analytics and in-vehicle warnings. The system was tested in a country-wide field test of 57 professional drivers, with over 170,000km driven during a four-week period, where vehicle data were gathered via a connected car prototype system. Ultimately, we demonstrate that in-vehicle warnings of accident hotspots have a significant improvement on driver behaviour over time. In addition, we provide first evidence that an individual's personality plays a key role in the effectiveness of in-vehicle DSSs. However, in contrast to existing lab experiments with very promising results, we were unable to find an immediate effect on driver behaviour. Hence, we see a strong need for further field experiments with high resolution car data to confirm that in-vehicle DSSs can deliver in diverse field situations. (C) 2017 Elsevier B.V. All rights reserved.
机译：尽管在道路和车辆安全方面进行了持续投资，并且在技术标准方面进行了改进，但在过去的几十年中，道路交通事故的总数一直在增加。因此，确定有效降低交通事故发生频率和严重程度的方法至关重要。鉴于所描述的挑战，最新研究提供了有前途的证据，表明车载决策支持系统（DSS）可以对驾驶行为和避免撞车产生重大积极影响。除了现有的研究之外，我们还开发了全面的车载DSS，它基于应用于全国历史事故数据集的位置分析，向驾驶员提供了事故热点警告，该历史数据集包括26.6万起事故。因此，我们描述了车载DSS的设计和现场评估，弥合了现实世界位置分析和车载警告之间的差距。该系统在全国范围内对57位专业驾驶员的现场测试中进行了测试，在四个星期的时间内行驶了170,000公里，并通过连接的汽车原型系统收集了车辆数据。最终，我们证明了随着时间的推移，事故热点的车载警告对驾驶员的行为有显着改善。此外，我们提供了第一个证据，表明个人的性格在车载DSS的有效性中起着关键作用。但是，与现有的实验室实验相比，结果非常令人满意，我们无法立即发现对驾驶员行为的影响。因此，我们强烈需要使用高分辨率汽车数据进行进一步的现场试验，以确认车载DSS可以在各种现场情况下提供。 （C）2017 Elsevier B.V.保留所有权利。

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