Establishing Best Pedestrian Paths considering SARS-CoV-2 contagions: Mathematical Optimization Model and Mobile Application Approach

Establishing Best Pedestrian Paths considering SARS-CoV-2 contagions: Mathematical Optimization Model and Mobile Application Approach

Blog Article

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 MINT ROSEMARY DEO 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 GUM COOLMINT 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.