An interpretable machine learning framework for enhancing road transportation safety
| Year of publication: |
2025
|
|---|---|
| Authors: | Abdulrashid, Ismail ; Chiang, Wen-Chyuan ; Sheu, Jiuh Biing ; Mammadov, Shamkhal |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 195.2025, Art.-No. 103969, p. 1-24
|
| Subject: | Crash severity | Explainable analytics | Interpretability | Machine learning | Safety assessment | Transport logistics | Künstliche Intelligenz | Artificial intelligence | Verkehrssicherheit | Traffic safety | Theorie | Theory | Straßenverkehr | Road transport |
-
Explainable artificial intelligence in transport logistics : risk analysis for road accidents
Abdulrashid, Ismail, (2024)
-
Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning
Zhong, Shaopeng, (2022)
-
Abdulrashid, Ismail, (2025)
- More ...
-
Green supply chain management, reverse logistics and nuclear power generation
Sheu, Jiuh Biing, (2008)
-
Sheu, Jiuh Biing, (2024)
-
Dynamic relief-demand management for emergency logistics operations under large-scale disasters
Sheu, Jiuh Biing, (2010)
- More ...