Safer Route Search to Lower COVID-19 Infection Risk using NAMI
With the spread of COVID-19, office workers and school students have moved into the online space. Consequently, the importance of face-to-face human functions is being recognized. In response to this, we have proposed an advanced system based on the fusion of human interaction and information technology, SHONAN. We have implemented the short-range message exchange system NAMI as a specific application of SHONAN. We have used NAMI to implement crowd-detection alerts to lower the risk of COVID-19 infection. In this study , using the data collected from previous research, we propose and implement a safer route-search method that minimizes the risk of COVID-19 infection.
Keyword - Covid-19 Prevention, SHONAN, NAMI, Route Search, Social Distance.