Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5194
Title: Optimizing Ambulance Paths: Case Study of Red Cross Tripoli Branch
Authors: Rafka, Elissa
Baroudi, Nadia
El-Zahab, Samer
Semaan, Nabil 
Al-Sakkaf, Abobakr
Affiliations: Department of Civil and Environmental Engineering 
Keywords: Ambulances
Congestion
Decision Making
Optimization
Red Cross
Shortest path
Issue Date: 2020-01-08
Publisher: Institute of Electrical and Electronics Engineers
Part of: International Conference on Decision Aid Sciences and Application (DASA), (8-9 Nov, 2020 : Sakheer, Bahrain)
Abstract: 
Red Cross, an international humanitarian organization, is involved in helping people suffering from hunger, war, diseases, or other problems. Reaching people who need help in using the own ambulances of the Red Cross. Due to congestion problems in Lebanon, the ambulances are sometimes late which threatens people's life. This paper aims to help the ambulances of the Red Cross in Tripoli Branch to promptly reach their urgencies in case of congestion and not. The problem is solved using Wolfram Mathematica 8.0 where the shortest path, in duration, is found. In the end, the shortest path is selected to be used by the Red Cross when there is congestion and another one is selected when there is not.
URI: https://scholarhub.balamand.edu.lb/handle/uob/5194
ISBN: 9781728196770
DOI: 10.1109/DASA51403.2020.9317265
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Civil and Environmental Engineering

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