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Relationship Between Traffic Volume and Accident Frequency at Intersections

机译:交叉口交通量与事故频率的关系

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摘要

Driven by the high social costs and emotional trauma that result from traffic accidents around the world, research into understanding the factors that influence accident occurrence is critical. There is a lack of consensus about how the management of congestion may affect traffic accidents. This paper aims to improve our understanding of this relationship by analysing accidents at 120 intersections in Adelaide, Australia. Data comprised of 1629 motor vehicle accidents with traffic volumes from a dataset of more than five million hourly measurements. The effect of rainfall was also examined. Results showed an approximately linear relationship between traffic volume and accident frequency at lower traffic volumes. In the highest traffic volumes, poisson and negative binomial models showed a significant quadratic explanatory term as accident frequency increases at a higher rate. This implies that focusing management efforts on avoiding these conditions would be most effective in reducing accident frequency. The relative risk of rainfall on accident frequency decreases with increasing congestion index. Accident risk is five times greater during rain at low congestion levels, successively decreasing to no elevated risk at the highest congestion level. No significant effect of congestion index on accident severity was detected.
机译:在世界范围内交通事故造成的高昂社会成本和情感创伤的驱动下,深入研究影响事故发生的因素至关重要。关于交通拥堵的管理如何影响交通事故,人们缺乏共识。本文旨在通过分析澳大利亚阿德莱德120个交叉路口的事故来增进我们对这种关系的理解。该数据包含1629例机动车事故,交通流量来自每小时测量超过500万次的数据集。还检查了降雨的影响。结果表明,在较低交通量下,交通量与事故频率之间存在近似线性关系。在最高的交通流量中,泊松和负二项式模型显示了一个重要的二次解释性术语,即事故频率以更高的速率增加。这意味着将管理工作集中在避免这些情况上将最有效地减少事故发生频率。降雨对事故频发的相对风险随拥挤指数的增加而降低。在低拥挤水平的雨中,事故风险高出五倍,在高拥挤水平下,事故风险逐渐降低至无高风险。没有发现交通拥堵指数对事故严重性有显着影响。

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