An intelligent control model of ambulances in emergency scenarios

Lei Zhang; Donghai Zhao; Guangxuan Chen; Kai Du; Jianyang Huang

doi:10.1117/12.3026124

8 April 2024 An intelligent control model of ambulances in emergency scenarios

Lei Zhang, Donghai Zhao, Guangxuan Chen, Kai Du, Jianyang Huang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130901N (2024) https://doi.org/10.1117/12.3026124
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

This paper aimed at the modeling research of the real-time regulation of ambulances in emergency scenarios, an online reinforcement learning algorithm based on the data enhancement method is proposed and applied to the solution of the ambulances control model. The experimental comparison with various algorithms shows that the method proposed in this paper not only has a strong computational advantage in the simulation experiment but also has a strong computational advantage. Moreover, it has practical application potential in emergency rescue operation regulation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lei Zhang, Donghai Zhao, Guangxuan Chen, Kai Du, and Jianyang Huang "An intelligent control model of ambulances in emergency scenarios", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130901N (8 April 2024); https://doi.org/10.1117/12.3026124

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