Pattern recognition from injury severity types of frontage roadway crashes

IF 2.4 3区 工程技术 Q3 TRANSPORTATION
Subasish Das, R. Tamakloe, Boniphace Kutela, Ahmed Hossain
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引用次数: 1

Abstract

Abstract Frontage roads are the supporting roadways that are along freeways and fully controlled principal arterial roadway networks in the U.S. These roads are designed in a way to provide access between the freeways, principal arterials, and surrounding business entities. For Texas, these roadways are the leading design resolution for providing access along rural freeways and principal arterial roadways. These roadways are generally two-ways for rural and less developed urban areas and are mostly one-way for urban and city-centered roadways. Although frontage roadways possess major safety concerns, the safety performance of these roadways has not been well studied. This study collected six years of frontage road crash data from Texas to determine the patterns of associated factors by applying a dimension reduction method known as cluster correspondence analysis (CCA). The results revealed four clusters for each of the two datasets based on crash injury types. For fatal and injury crashes, the major clusters are distraction-related crashes at signalized intersections, segment-related crashes at dark unlighted conditions, yield signed intersection locations and segments with no TCDs, and intersection crashes on undivided roadways. For the no injury crash dataset, the key clusters are segment crashes in dark conditions and rain, crashes at signalized intersections with both drivers going straight, segment crashes with both drivers going straight with marked lanes or no TCDs, and intersection-related collisions on undivided roadways. Based on the evaluation results, suitable safety countermeasures and policy initiatives to reduce frontage road crash frequencies can be singled out.
正面道路碰撞损伤严重程度类型的模式识别
在美国,临街道路是沿高速公路和完全受控的主干道路网的辅助道路。这些道路的设计方式是提供高速公路、主干道和周围商业实体之间的通道。对于德克萨斯州来说,这些公路是提供农村高速公路和主干道通道的主要设计方案。这些道路通常是农村和欠发达城市地区的双向道路,而城市和以城市为中心的道路大多是单向道路。虽然临街道路具有重大的安全问题,但这些道路的安全性能尚未得到很好的研究。本研究收集了德克萨斯州6年的前方道路碰撞数据,通过应用称为聚类对应分析(CCA)的降维方法来确定相关因素的模式。结果显示,基于碰撞损伤类型,两个数据集各有四个集群。对于致命和伤害事故,主要集群是信号交叉口与分心相关的事故,黑暗无灯条件下与路段相关的事故,屈服标志交叉口位置和没有tcd的路段,以及未分割道路上的交叉口事故。对于无伤害碰撞数据集,关键集群是黑暗和下雨条件下的分段碰撞、在有信号的十字路口双方司机直行的碰撞、在有标记车道或没有tcd的情况下双方司机直行的分段碰撞,以及在未分割的道路上与十字路口相关的碰撞。根据评估结果,可以挑选出适当的安全对策和政策举措,以减少前方道路碰撞频率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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