Ambulance fastest path using ant colony optimization algorithm

1Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The number of the accidents in Tunisia is terrifying and it is considered as the highest in the world while basing on accurate statistics. Such situation requires a very fast intervention. Therefore, it is necessary to promote the study in ambulance management, so as to optimize the strategy of response to a given accident. Based on the defect of the ambulance root choosing, this paper puts forward a new algorithm based on ant colony optimization algorithm to find the best way that minimizes the time while taking into consideration the cases of problems that can appear each time such as traffics, catastrophes natural, etc.

Cite

CITATION STYLE

APA

Hamdi, H., Arfaoui, N., Al Mashhour, Y., & Akaichi, J. (2018). Ambulance fastest path using ant colony optimization algorithm. In Smart Innovation, Systems and Technologies (Vol. 76, pp. 400–409). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-59480-4_40

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free