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Updated Estimates of Potential Traffic Fatality Reductions With Automatic Collision Notification

机译:使用自动碰撞通知更新了潜在的交通致命性减少的估计

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This paper updates the earlier work done by Wu, Craig, et al. (2013) that explored the effects of earlier emergency medical services (EMS) through Automatic Collision Notification (ACN) on passenger/driver survivability using Fatality Analysis Reporting System (FARS) 2005-09. In this continuing study the earlier results are updated using recent FARS 2009-2012 data, while additional factors together with ACN are also considered: such as EMS arrival, time to hospital, urban/rural location comparison, occupant age and correlation between EMS factors. Kaplan-Meier estimator is applied to compare the survival rates between two conditions (e.g., earlier versus late EMS notification); Proportional hazard model explores simultaneously multiple risk factors related to traffic mortality. Correlations between notification and EMS arrival are explored and especially in rural area. Based on FARS data from 2009-2012, Kaplan-Meier life curves clearly show the benefits associated with earlier notifications within 1-2 minutes (approximately 1.5-2.0% fatality reduction within a timeframe of 6 hours after crash) and earlier arrivals. The relative hazard ratio associated with collision notification, location and age are obtained from a multiple regression model, and the relatively higher fatality hazard (up to 4% higher) is associated the later notification of more than 2 minutes. This paper obtains the driver/passenger survival probability differences over time under different conditions of collision notifications, EMS arrivals, time to reach a hospital, and crash locations, furthermore, this analysis provides the estimations of lives that could potentially be saved (177 to 244 per year approximately) due to earlier crash notification, or Automatic Collision Notification (ACN).
机译:本文更新了吴,Craig等人的早期工作。 (2013年)使用死亡分析报告系统(FARS)2005-09探讨了通过自动碰撞通知(ACN)对乘客/驾驶员生存能力的自动碰撞通知(ACN)的影响。在这种持续研究中,使用最近的2009-2012数据更新前面的结果,而另外的因素也与ACN一起考虑:例如EMS到达,医院时间,城市/农村地点比较,EMS因子之间的占用年龄和相关性。申请Kaplan-Meier估算器以比较两个条件之间的生存率(例如,早期与晚EMS通知);比例危险模型同时探讨与交通死亡率相关的多种风险因素。探索通知与EMS抵达之间的相关性,特别是在农村地区。基于2009 - 2012年的FARS数据,Kaplan-Meier寿命曲线清楚地表明与早期通知在1-2分钟内(在崩溃后6小时的时间范围内大约1.5-2.0%的死亡率)和早期的抵达。从多元回归模型获得与碰撞通知,位置和年龄相关的相对危险比,并且相对较高的死亡危险(高达4%)与超过2分钟的后期通知相关联。本文在不同的碰撞通知条件下获得驾驶员/乘客生存概率差异,EMS抵达,时间到达医院,而且崩溃位置,此外,该分析提供了可能挽救的生活估计(177至244每年大约)由于早期的碰撞通知或自动碰撞通知(ACN)。

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