TY - JOUR
AU - Cantor, Juan E.
AU - Montoya, Germán A.
AU - Lozano-Garzon, Carlos
PY - 2021/12/24
Y2 - 2022/01/22
TI - Establishing Best Pedestrian Paths considering SARS-CoV-2 contagions: Mathematical Optimization Model and Mobile Application Approach
JF - ParadigmPlus
JA - paradigmplus
VL - 2
IS - 3
SE - Articles
DO -
UR - https://journals.itiud.org/index.php/paradigmplus/article/view/26
SP - 14-36
AB - Given the modern SARS-CoV-2 coronavirus pandemic and the Universidad de Los Andes needs to protect their students against possible contagions at the university campus, we established and design a mobile application to obtain the best route between two places in the campus university for a student. The resulting path obtained by our proposed solution reduces the distance traveled by the student as well as a possible coronavirus contagion during his journey through the university campus. Therefore, we modeled two types of costs: a transport cost that models the distance to travel the campus by a student, and the contagion risk cost that models the contagion susceptibility that a student has during a displacement through the campus. As a result, we developed and validated a solution algorithm that minimizes the two modeled costs. The algorithm results were compared against a Multi-Objective mathematical optimization solution were findings show an solution approximation between the algorithm and the mathematical model. Finally, a mobile application was developed to map the optimal routes to displace between two points in the university campus given the solution algorithm.
ER -