Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and h...

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Bibliographic Details
Main Authors: Qiang Zeng, Wei Hao, Jaeyoung Lee, Feng Chen
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
crash severity
weather condition
generalized ordered logit model
spatial correlation
conditional autoregressive prior
Bayesian inference
Online Access:https://www.mdpi.com/1660-4601/17/8/2768

Internet

https://www.mdpi.com/1660-4601/17/8/2768

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