Constraint-based recommender system for crisis management simulations
Abstract
In the context of the evacuation of populations, some citizens/volunteers may want and be able to participate in the evacuation of populations in difficulty by coming to lend a hand to emergency/evacuation vehicles with their own vehicles. One way of framing these impulses of solidarity would be to be able to list in real-time the citizens/volunteers available with their vehicles (land, sea, air, etc.), to be able to geolocate them according to the risk areas to be evacuated, and adding them to the evacuation/rescue vehicles. Because it is difficult to propose an effective real-time operational system on the field in a real crisis situation, in this work, we propose to add a module for recommending driver/vehicle pairs (with their specificities) to a system of crisis management simulation. To do that, we chose to model and develop an ontology-supported constraint-based recommender system for crisis management simulations.
Cite
@article{arxiv.2306.04553,
title = {Constraint-based recommender system for crisis management simulations},
author = {Ngoc Luyen Le and Jinfeng Zhong and Elsa Negre and Marie-Hélène Abel},
journal= {arXiv preprint arXiv:2306.04553},
year = {2023}
}