Do the shopping at the time of the Coronavirus is not always easy, we understand. The changing needs of the supply and the maintenance of the so-called social distance are doing grow out of control, the queues at the supermarkets.

From here the idea of two developers italians, Fulvio Bambusi and Andrea Nougat: create a web site to calculate the waiting time to get in the supermarket. Filaindiana.en, the name of the initiative, is a geo-referenced map that shows in real time the supermarkets (for the moment only those of Lombardy) and the waiting time required to access it. Just open the page, locate the centers in the vicinity and click on it to view the estimated number of people in a row, and the minutes (or hours) needed to enter.

The estimate is for the moment rather rough: in our practical test made in a supermarket on the outskirts of Milan, waiting times have proved to be about 3-4 times higher than those indicated by Filaindiana.

The reason is to be found in the principle of operation of the solution: unlike Google Maps and other navigation apps that are based on a calculation algorithm that takes into account the movements recorded in the background from the smartphone, Filaindiana works through amanual interaction with the user, that must be some sort of active sample of the service. In practice: anyone who connects to the web page is invited to click on the button that Are in the queue here whenever you find outside the supermarket, and possibly give his staff feedback to improve the data on waiting times

From here the invitation of the creators of the solution: “If you are in a row, it reports how many people are there and we will be able to inform other users, our times are estimates, and improve with the contribution of all”.

The council, for those who want to be more sure of the waiting times in these days, armoured vehicles, emergency Coronavirus, is therefore to give a look at Google Maps and the detail that shows the opening times of the supermarkets with the graph of the bands with the most number of visits.