Robust ambulance base allocation strategy with social media and traffic congestion information-Reference-Cited by-同舟云学术

Robust ambulance base allocation strategy with social media and traffic congestion information

Published:2020-03-26 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Yuangyai Chumpol,Nilsang Suriyaphong,Cheng Chen-Yang

Funder

National Taipei University of Technology

King Mongkut's Institute of Technology Ladkrabang

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-01889-0.pdf

Reference52 articles.

1. Aboueljinane L, Sahin E, Jemai Z (2013) A review on simulation models applied to emergency medical service operations. Comput Ind Eng 66(4):734–750

2. Akamatsu T (1996) Cyclic flows, Markov process and stochastic traffic assignment. Transp Res Part B Methodol 30(5):369–386

3. Anand J, Flora TA (2014) Emergency traffic management for ambulance using wireless communication. IPASJ Int J Electron Commun (IIJEC) 2(7):43–52

4. Aytug H, Saydam C (2002) Solving large-scale maximum expected covering location problems by genetic algorithms: a comparative study. Eur J Oper Res 141(3):480–494

5. Bélanger V, Ruiz A, Soriano P (2015) Recent advances in emergency medical services management. Faculté des sciences de l’administration, Université Laval, Quebec

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