Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network

Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network

The analysis of severity causality for traffic crash is essential for enhancing the crash rescue responding speed, thereby reducing the casualties and property losses caused by roadway crashes. This study constructs a severity causation network to explore the relationship between risk factors and cr...

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Bibliographic Details
Main Authors: Fang Zong, Xiangru Chen, Jinjun Tang, Ping Yu, Ting Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Crash severity prediction
severity causality
risk analysis
information entropy
Bayesian methods
Online Access:https://ieeexplore.ieee.org/document/8713967/

Internet

https://ieeexplore.ieee.org/document/8713967/

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