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原文传递 Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision
题名: Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision
正文语种: eng
作者: Farzin Maniei;Stephen P. Mattingly;A.M.ASCE
作者单位: Dept. of Civil Engineering Univ. of Texas at Arlington Box 19308 Arlington TX 76019;;Dept. of Civil Engineering Univ. of Texas at Arlington Box 19308 Arlington TX 76019
摘要: Both crash frequency analysis (CFA) and real-time crash prediction models (RTCPMs) divide a highway into small segments with a constant length [typically 0.161 km (0.10 mi)] for data aggregation. Many previous studies refer to this constant length as the
出版年: 2024
期刊名称: Journal of Transportation Engineering, Part A. Systems
卷: 150
期: 8
页码: 04024037.1-04024037.15
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