首页> 外文会议>International Technical Conference on the Enhanced Safety of Vehicles >ENHANCED AUTOMATIC COLLISION NOTIFICATION SYSTEM - IMPROVED RESCUE CARE DUE TO INJURY PREDICTION - FIRST FIELD EXPERIENCE
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ENHANCED AUTOMATIC COLLISION NOTIFICATION SYSTEM - IMPROVED RESCUE CARE DUE TO INJURY PREDICTION - FIRST FIELD EXPERIENCE

机译:增强的自动碰撞通知系统 - 由于伤害预测而改善了救援护理 - 首先是现场经验

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This paper summarizes the initial findings from a database of crashes that involved BMW's equipped with Automatic Crash Notification (ACN) Systems in the US and Germany. In addition, first field experiences with BMW's enhanced ACN systems are reported where vehicles not only provide an initial crash notification but also transmit data describing the nature and severity of the collision event. The benefits of such a system, including the rapid recognition of potentially injured occupants based on key characteristics of each crash, are explored. Since 2006, nearly 14,000 BMW crashes have occurred in the US involving vehicles equipped with ACN or enhanced ACN technology. Of these, 70% of occupants indicate no injury to the TSP (Telematics Service Provider) operators, 20% indicate they are injured in some way and require help while 10% provide no verbal response to the TSP call-taker. An investigation of a subsample of crashes occurring in Florida suggests that no hospital transport was necessary for 81% of the calls where no voice response occurred. Although the majority of these cases require no further care, 19% of the no voice population was subsequently transported to a hospital or trauma center for additional care. This population of occupants could benefit from an automatic call for help to a Public Services Answering Point (PSAP-commonly known as 911) that includes an estimate of the likelihood of serious injuries. To assist in identifying crashes with incapacitating injuries, the William Lehman Injury Research Center (WLIRC) in Miami, Florida and BMW have pioneered the development of an algorithm called URGENCY. This algorithm is based on US national crash statistics and BMW internal data. The injury prediction by URGENCY permits the transmission of the earliest and best information to the PSAP. We report early observations of injury severity and location for enhanced ACN equipped vehicle crashes occurring in the US and Germany.
机译:本文总结了涉及BMW配备美国和德国的自动碰撞通知(ACN)系统的崩溃数据库的初始发现。此外,报告了与BMW增强型ACN系统的第一场经验,其中车辆不仅提供初始碰撞通知,而且还传输描述碰撞事件的性质和严重性的数据。探讨了这种系统的好处,包括基于每次崩溃的关键特征的潜在受伤的居住者的快速识别。自2006年以来,美国涉及配备ACN或增强型ACN技术的车辆的近14,000家BMW崩溃。其中,住户的70%表示没有伤到TSP(Telematics服务提供商)运营商,20%表示他们正在以某种方式受伤,需要帮助,而10%提供给TSP接线员没有口头答复。在佛罗里达州发生的撞车船只进行调查表明,81%的呼叫中没有出现任何医院运输,没有发生语音反应。虽然这些案件的大多数不需要进一步的护理,但随后,19%的语音人口随后被运送到医院或创伤中心进行额外照顾。这种居民群体可以从自动呼吁中受益,以帮助公共服务应答点(常见称为911),包括估计严重伤害的可能性。为了协助识别伤害损失的崩溃,迈阿密,佛罗里达州和宝马的威廉雷曼伤病研究中心(WLIRC)开创了一种称为紧急性的算法的开发。该算法基于美国国家崩溃统计和BMW内部数据。伤害通过紧急预测允许将最早和最佳信息传输到PSAP。我们报告了早期观察伤害严重程度,并在美国和德国发生的加强ACN装备车辆撞车的位置。

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