Surrogate safety and network screening: Modelling crash frequency using GPS travel data and latent Gaussian Spatial Models-Reference-Cited by-同舟云学术

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Surrogate safety and network screening: Modelling crash frequency using GPS travel data and latent Gaussian Spatial Models

Published:2018-11 Issue: Volume:120 Page:174-187
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Stipancic Joshua,Miranda-Moreno Luis^ORCID,Saunier Nicolas^ORCID,Labbe Aurelie

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

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

Reference59 articles.

1. Identifying crash propensity using specific traffic speed conditions;Abdel-Aty;J. Safety Res.,2005

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

3. Identification of hazardous road locations on the basis of floating car dat;Algerholm,2012

4. Assessing safety critical braking events in naturalistic driving studies;Bagdadi;Transp. Res. Part F,2013

5. Bayesian image restoration, with two applications in spatial statistics;Besag;Ann. Inst. Stat. Math.,1991

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