Skip to content

Application of ML algorithms in the context of traffic safety analysis

Notifications You must be signed in to change notification settings

bRecordT/Traffic-Safety-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

Traffic Safety Prediction

Application of ML algorithms in the context of traffic safety analysis

Overview

Three algorithms are tested for crash severity and frequency analysis, including decision tree (CART), random forest, and model-based recursive partitioning (MOB). Model development, optimization, and evaluation are jointly compared with statistical approaches in the study field (i.e., logistic regression and negative binomial regression models).

Data Source

About

Application of ML algorithms in the context of traffic safety analysis

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages