To enhance the efficiency and effectiveness of essential emergency services such as ambulances, fire brigades, and police, one of the most important problems to tackle is to minimize the response times of these emergency vehicles. As well as attaining optimal waiting sites and deployment strategies for the emergency vehicles, the optimal routing and traffic preemption of the vehicles are also crucial in minimizing response times and maximizing coverage. As locational planning and dynamic routing of the emergency vehicles relate to many different situations with varying emergency levels, they are a crucial part of the smart city concept. In this chapter, we present a perspective for the use of artificial intelligence and optimization in sustainable healthcare logistics within a smart city. We provide a survey of literature and identify many applications from around the globe. Related mathematical models and solution approaches are also presented, as necessary.
Artificial Intelligence for Smart Cities: Locational Planning and Dynamic Routing of Emergency Vehicles
Abbrev. title: Account. finance sustain. gov. fraud
The Impact of Artificial Intelligence on Governance, Economics and Finance, Volume 2 ; Kapitel : 3 ; 41-63
2022-05-21
23 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Healthcare logistics , Artificial intelligence , Smart cities , Optimization , Emergency services planning , Vehicle routing , Location/relocation problems , Ambulance deployment , Dynamic routing , Mathematical modeling Business and Management , Business and Management, general , IT in Business , Artificial Intelligence , Business Finance
Internet of Things and Artificial Intelligence-Enabled Secure Autonomous Vehicles for Smart Cities
Springer Verlag | 2021
|Artificial Intelligence Traffic Analysis Framework for Smart Cities
Springer Verlag | 2023
|Locational effects of Electric Vehicles on prices
IEEE | 2012
|