Research on optimization of emergency rescue plan based on risk measurement-Reference-Cited by-同舟云学术

Research on optimization of emergency rescue plan based on risk measurement

Published:2023-11-24 Issue: Volume: Page:720-725
ISSN:
Container-title:Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
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Author:

Bu Fanbiao¹^ORCID,Chen Xuhao²^ORCID,Lv Ying³^ORCID,Xu Hengrui⁴^ORCID

Affiliation:

1. Overall Demonstration Center, Qian Xuesen Institute of Military Systems Engineering, China

2. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Institute of Transportation System Science and Engineering, School of Traffic and Transportation, China and Shijiazhuang Land and Space Planning and Design Institute Co., Ltd., China

3. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Institute of Transportation System Science and Engineering, School of Traffic and Transportation, China

4. Data Center, Agricultural Bank of China Limited, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3656766.3656886

Reference7 articles.

1. Shahparvari S, Abbasi B, Chhetri P, Vehicle routing and scheduling for bushfire emergency evacuation[C]// 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016.

2. A multi-objective emergency vehicle scheduling optimisation model

3. Planning the use of helicopters in distribution of supplies in response operations of natural disasters

4. An air-ground cooperative scheduling model considering traffic environment and helicopter performance

5. Risk-averse optimization of disaster relief facility location and vehicle routing under stochastic demand