Assessment of the level of road crash severity: Comparison of intelligence studies
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference84 articles.
1. Analysis of driver injury severity levels at multiple locations using ordered probit models;Abdel-Aty;Journal of Safety Research,2003
2. Developing the rule of thumb for evaluating penetration rate of TBM, using binary classification;Akbarzadeh;Geotechnical and Geological Engineering,2022
3. A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers;Amiri;Accident Analysis & Prevention,2020
4. Surrogate safety measures from traffic simulation models a comparison of different models for intersection safety evaluation;Astarita;Transportation Research Procedia,2019
5. Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity;Astarita;Transportation Engineering,2023
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