Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering-Reference-Cited by-同舟云学术

Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering

Published:2024-07 Issue: Volume:202 Page:107603
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Samerei Seyed Alireza,Aghabayk Kayvan^ORCID

Publisher

Elsevier BV

Reference96 articles.

1. Effects of excessive speeding and falling asleep while driving on crash injury severity in ethiopia: A generalized ordered logit model analysis;Abegaz;Accid. Anal. Prev.,2014

2. Road traffic crashes at night-time: Characteristics and risk factors;Ackaah;Int. J. Inj. Contr. Saf. Promot.,2020

3. A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk;Afghari;Analyt. Methods Accid. Res.,2018

4. 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;Analyt. Methods Accid. Res.,2021

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

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