A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation

In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patt...

詳細記述

書誌詳細

主要な著者:	Reem Tluli, Ahmed Badawy, Saeed Salem, Mahmoud Barhamgi, Amr Mohamed
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Open Journal of Intelligent Transportation Systems
主題:	Emergency medical services (EMS) ambulance services machine learning (ml) allocation optimization vehicle routing strategies demand estimation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10787208/
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!