A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis

A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis

Highway-rail grade crossing (HRGC) crashes continue to be the major contributors to rail causalities in the United States and have been intensively researched in the past. Data-mining models focus on prediction while dominant general linear models focus on model and data fitness. Decision makers and...

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Bibliographic Details
Main Authors:	Pan Lu, Zijian Zheng, Yihao Ren, Xiaoyi Zhou, Amin Keramati, Denver Tolliver, Ying Huang
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2020-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2020/6751728

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