Investigation of time and weather effects on crash types using full Bayesian multivariate Poisson lognormal models-Reference-Cited by-同舟云学术

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Investigation of time and weather effects on crash types using full Bayesian multivariate Poisson lognormal models

Published:2014-12 Issue: Volume:73 Page:91-99
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

El-Basyouny Karim,Barua Sudip,Islam Md Tazul

Funder

City of Edmonton

Office of Traffic Safety (OTS)

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data;Abdel-Aty;IEEE Trans. Intell. Transp. Syst.,2006

2. Identifying road segments with high risk of weather-related crashes using full Bayesian hierarchical models;Agüero,2007

3. Bayesian multivariate poisson log-normal models for crash severity modeling and site ranking;Aguero-Valverde;Transp. Res. Rec.,2009

4. Assessment of interaction of crash occurrence, mountainous freeway geometry, real-time weather, and traffic data;Ahmed;Transp. Res. Rec.,2012

5. Long-term trends in weather-related crash risks;Andrey;J. Transp. Geogr.,2010

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2. Investigating the Effect of Microscopic Real-Time Weather Data on Commercial Motor Vehicle Crash Injury Severity in Kentucky;Transportation Research Record: Journal of the Transportation Research Board;2024-06-01

3. A Poisson Lognormal-Lindley model for simultaneous estimation of multiple crash-types: Application of multivariate and pooled univariate models;Analytic Methods in Accident Research;2024-03

4. Impact of real-time weather conditions on crash injury severity in Kentucky using the correlated random parameters logit model with heterogeneity in means;Accident Analysis & Prevention;2024-03

5. How do drunk-driving events escalate into drunk-driving crashes? An empirical analysis of Beijing from a spatiotemporal perspective;International Journal of Injury Control and Safety Promotion;2024-01-26

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