Uncovering pedestrian midblock crash severity patterns using association rules mining

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Transportmetrica A-Transport Science Pub Date : 2024-07-18 DOI:10.1080/23249935.2024.2379948

Rohit Chakraborty, Subasish Das, Md Nasim Khan

引用次数: 0

Abstract

The current study investigated the contributing factors and temporal variation in pedestrian crashes at midblock, with a particular focus on the severity levels: fatal/severe, moderate injury, and ...

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利用关联规则挖掘行人在街区中段碰撞的严重程度模式

本研究调查了街区中段行人碰撞事故的诱发因素和时间变化，尤其侧重于严重程度：致命/严重、中度伤害和...

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

Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

8.10

自引率

12.10%

发文量

期刊介绍： Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.