The Association Between Aggressive Driving Behaviors and Elderly Pedestrian Traffic Accidents: The Application of Explainable Artificial Intelligence (XAI)
This study investigates the association between aggressive driving behavior and elderly pedestrian traffic accidents using the Explainable Artificial Intelligence (XAI) method. This study focuses on Seoul, South Korea, where an aging population and urban challenges create a pressing need for pedestr...
Saved in:
| Main Authors: | Minjun Kim, Dongbeom Kim, Jisup Shim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/4/1741 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable artificial intelligence (XAI) for interpreting predictive models and key variables in flood susceptibility
by: Bahram Choubin, et al.
Published: (2025-09-01) -
Traffic accident severity prediction based on an enhanced MSCPO-XGBoost hybrid model
by: Fei Chen, et al.
Published: (2025-07-01) -
Effect of Mechanized Pedestrian Overpass to Reduce Accidents and Improve the Safety of vulnerable Pedestrians (Case Study: Esfahan)
by: Mohsen i Aboutalebi Esfahan, et al.
Published: (2020-12-01) -
Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP
by: Kazi Fatema, et al.
Published: (2025-05-01) -
Prevalence and Characteristics of Traffic Accidents Endangering Vulnerable Pedestrians in Hungary
by: Emese Sánta, et al.
Published: (2024-11-01)