Proposal of mathematical model of prediction of human movement on sightseeing using position information
In recent years, behavior analysis by smartphone’s GPS data is being conducted. It is becoming clear that the routine behavior of city dwellers follows a certain pattern, based on preference and life rhythm, and it is possible to predict the traffic congestion, etc., by reading this behavior pattern . Prediction, based on human behavior, is also possible for non-routine behavior such as sightseeing, traveling, etc. Although they are not routine activities, there are several action patterns, based on the purpose.