A Framework for Smart Capacity Estimation at Crowded Area using WSN

Abstract

Dynamic crowd causes many challenges including estimation of crowd capacity in a restricted area. It’s one of the problems for estimating the crowd capacity when crowd strength increases or decreases (fluctuates) at different time (peak and off-peak time) and during different activities. This may cause difficulty in managing the crowd according to capacity of the area, time and activity. To overcome the issue of capacity estimation according to the space or area available, this paper proposed a conceptual framework to calculate the number of persons in a definite zone or level and calculate the remaining capacity in the area (Zone and level). IoT, cloud computing and WSN are used to estimate the remaining capacity in the restricted area according to the time and activity.