To prevent the spread of COVID-19 virus, we will try to protect ourselves by restricting our outbound from 20:00 to 5:00 a.m. from November 10, 2020. We have already examined the effects of the March traffic restrictions in our previous articles, now we examine what we are experiencing based on the data provided by our IPS-401 NB-IoT Traffic sensors operating in the Downtown.
The data -given that they come from a small area and not from a large number of sensor data- are obviously not suitable for making general findings, but they do illustrate the local impact of the provision and the change in traffic patterns. If we examine the traffic flow of an average Tuesday before and after the introduction of the restriction, it can be seen that the afternoon traffic is continuously decreasing, while after 20 hours the expected significant decrease is set.
Regarding the daily data of the examined week, there is a fluctuation, on some days the traffic decreases compared to the same day of the week before the restriction, where it increases, but overall the traffic load detected by the sensors decreased by almost 10%.
If we look at the traffic data for each week in the period before and after the restriction (in this case, we looked at the data generated around 22.00), it appears that the night traffic in this area fell on average to the usual 25-26%.
By continuously monitoring the data of IoT devices, we can draw conclusions in an extremely short time, and we can make traffic, law enforcement or business decisions, or we can intervene if necessary. Examining the data obtained in this way, possibly together with data from other systems, we can get a much more complex picture of the specific mechanism of action of our decisions.