A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability-Reference-Cited by-同舟云学术

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A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

Published:2024-10 Issue: Volume:206 Page:107696
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Sadeghi Matin^ORCID,Aghabayk Kayvan^ORCID,Quddus Mohammed

Publisher

Elsevier BV

Reference64 articles.

1. Age-related differences in motor-vehicle crash severity in california;Adebisi;Safety [online],2019

2. Stop or go decisions at the onset of yellow light in a connected environment: A hybrid approach of decision tree and panel mixed logit model;Ali;Analytic Methods in Accident Research,2021

3. Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review;Ali;Accid Anal Prev,2024

4. The role of cognitive and visual abilities as predictors in the multifactorial model of driving safety;Anstey;Accid. Anal. Prev.,2012

5. Does longevity impact the severity of traffic crashes? A comparative study of young-older and old-older drivers;Ayuso;J. Saf. Res.,2020

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