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Proactive detection of high collision concentration locations on highways

机译:主动检测高速公路上的高碰撞集中位置

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In previous research (Chung et al, 2009), the potential of the Continuous Risk Profile (CRP) to proactively detect the systematicdeterioration of freeway safety levels was presented. In this paper this potential is investigated further, and an algorithm isproposed for proactively detecting sites where the collision rate is not sufficiently high to be classified as a high collisionconcentration location but where a systematic deterioration of safety level is observed. The approach proposed compares theweighted CRP across different years and uses the cumulative sum (CUSUM) algorithm to detect the sites where changes incollision rate are observed. The CRPs of the detected sites are then compared for reproducibility. When high reproducibility isobserved, a growth factor is used for sequential hypothesis testing to determine if the collision profiles are increasing over time.Findings from applying the proposed method using empirical data are documented in the paper together with a detaileddescription of the method.
机译:在先前的研究(Chung等,2009)中,持续风险概况(CRP)主动检测系统性疾病的潜力 介绍了高速公路安全等级的恶化。本文进一步研究了这种潜力,并提出了一种算法 提出了主动检测碰撞率不高到不能归类为高碰撞率的站点的建议 集中的位置,但观察到安全水平的系统性下降。建议的方法比较了 对不同年份的CRP进行加权,并使用累积总和(CUSUM)算法来检测发生变化的站点 观察到碰撞率。然后比较检测到的位点的CRP的可重复性。当高再现性是 观察到,增长因子用于顺序假设检验,以确定碰撞曲线是否随时间增加。 本文将经验数据应用于拟议方法的发现以及详细说明 方法说明。

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