Crash injury severity analysis using a two-layer Stacking framework-Reference-Cited by-同舟云学术

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Crash injury severity analysis using a two-layer Stacking framework

Published:2019-01 Issue: Volume:122 Page:226-238
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Tang Jinjun,Liang Jian,Han Chunyang,Li Zhibin,Huang Helai^ORCID

Funder

National Natural Science Foundation of China

Foundation of Central South University

Science and Innovation Foundation of the Transportation Department in Hunan Province

Postdoctoral Science Foundation of China

Scientific Research Project of Ministry of Housing and Urban-Rural Development

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference37 articles.

1. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections;Abdelwahab;Transp. Res. Rec.,2001

2. Analysis of traffic accident severity using decision rules via decision trees;Abellán;Expert Syst. Appl.,2013

3. Highway Safety Manual;American Association of state Highway and Transportation Ofﬁcials,2010

4. Kernel density estimation and k-means clustering to profile road accident hotspots;Anderson;Accid. Anal. Prev.,2009

5. A full Bayesian multivariate count data model of collision severity with spatial correlation;Barua;Anal. Methods Accid. Res.,2014

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