Graph Neural Network to Solve the Dynamic Emergency Vehicles Routing Problems
Author:
Affiliation:
1. St Francis Xavier University,Department of Computer Science,Antigonish,NS,CA
2. St Francis Xavier University,Department of Mathematics and Statistics,Antigonish,NS,CA
3. School of Computing Queen’s University,Kingston,ON,CA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10553374/10553399/10553609.pdf?arnumber=10553609
Reference27 articles.
1. Association Between Emergency Medical Service Response Time and Motor Vehicle Crash Mortality in the United States
2. Literature Review of Analytical Models on Emergency Vehicle Service: Location, Dispatching, Routing and Preemption Control
3. A Novel Emergency Vehicle Dispatching System
4. Leveraging Communicating UAVs for Emergency Vehicle Guidance in Urban Areas
5. Adaptive Preemption of Traffic for Emergency Vehicles
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