An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique-Reference-Cited by-同舟云学术

An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique

Published:2024 Issue: Volume:12 Page:61062-61072
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aboulola Omar Ibrahim¹^ORCID,Alabdulqader Ebtisam Abdullah²^ORCID,AlArfaj Aisha Ahmed³,Alsubai Shtwai⁴^ORCID,Kim Tai-Hoon⁵^ORCID

Affiliation:

1. College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

2. Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

3. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

4. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

5. School of Electrical and Computer Engineering, Chonnam National University, Yeosu-si, Jeollanam-do, Republic of Korea

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through Princess Nourah bint Abdulrahman University Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10477984.pdf?arnumber=10477984

Reference41 articles.

1. Road traffic accident: Human security perspective

2. Identification of Factors Affecting Road Traffic Injuries Incidence and Severity in Southern Thailand Based on Accident Investigation Reports

3. Road traffic accidents: An overview of data sources, analysis techniques and contributing factors

4. Accident risk of road and weather conditions on different road types