Modeling Farm Equipment Vehicle crash injury severity using random parameters logit and multi-class support vector machine in a developing country

Abstract Farm Equipment Vehicles (FEVs) pose major safety challenges on interurban and rural roads, especially in developing countries where outdated fleets and poor infrastructure are common. Interactions among multiple risk factors often increase crash severity. This study investigates the severit...

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Autori principali:	Ehsan Jafari Nasab, Abdoreza Sheikholeslami, Jose Manuel Vassallo, Amin Moeinaddini
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-04-01
Serie:	Scientific Reports
Soggetti:	Farm equipment vehicle (FEV)-involved crashes Rural road safety Injury severity Heterogeneity Random parameters ordered logit (RPOL) Multi-class support vector machine (MC-SVM)
Accesso online:	https://doi.org/10.1038/s41598-026-42267-8
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