Traffic accident severity prediction with ensemble learning methods-Reference-Cited by-同舟云学术

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Traffic accident severity prediction with ensemble learning methods

Published:2024-03 Issue: Volume:114 Page:109101
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Çeven Süleyman,Albayrak Ahmet^ORCID

Funder

Karabük Üniversitesi

Publisher

Elsevier BV

Reference75 articles.

1. Road traffic accidents: a pictorial review;Kissi;Emerg Radiol,2018

2. Risk factors of deaths related to road traffic crashes in World Health Organization regions: a systematic review;Razzaghi;Arch Trauma Res,2019

3. Important aspects of human behavior in road traffic accidents;Lakhan;Indian J Neurotrauma,2020

4. Impact of cannabis use on road traffic collisions and safety at work: systematic review and meta-analysis;Els;Can J Addict,2019

5. The global macroeconomic burden of road injuries: estimates and projections for 166 countries;Chen;Lancet Planet Health,2019

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrative review of data sciences for driving smart mobility in intelligent transportation systems;Computers and Electrical Engineering;2024-11

2. An accident severity prediction framework with consider features interaction;Proceedings of the Institution of Civil Engineers - Transport;2024-08-22

3. A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence;Infrastructures;2024-08-13

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

5. Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning;Electronics;2024-08-01

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