Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents-Reference-Cited by-同舟云学术

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Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents

Published:2023-11 Issue:11 Volume:9 Page:e21371
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Elalouf Amir^ORCID,Birfir Slava,Rosenbloom Tova

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference61 articles.

1. Pedestrian Traffic Fatalities by State, 2020 Preliminary Data;Retting,2019

2. Pedestrian Traffic Fatalities by State: 2019 Preliminary Data;Retting,2018

3. NHTSA. Traffic Safety Facts: Pedestrians. National Highway Traffic Safety Administration, Washington (DC). Report No.: DOT HS 812 681.

4. Exploring factors associated with crash severity on motorways in Pakistan;Ahmad,2019

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1. Unconstrained and partially constrained temporal modelling of pedestrian injury severities;Transportmetrica A: Transport Science;2024-08-08

2. Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation;Heliyon;2024-08

3. Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments;Cancer Reports;2024-03

4. Developing Hybrid Lstm Based Platform for Efficient Freight Distribution in Urban Areas;2024

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