TOWARDS RISK PREDICTION CONSIDERING PEOPLE FLOW

摘要

The people flow data is defined as the time series of events each of which is composed of spatio-temporally interpolated attributes set for every single minute such as "identification number, date, time, position, gender, age, address, job, purpose and traffic means" on the basis of public investigations. By utilizing the databases, it would become possible to predict when and where to come across the people, even if the sensing and the communication are extremely degraded. In this article, we propose some statistical methods to predict the human appearance on any spatio-temporal points.