COLLECTING MOBILITY PATTERN OF HUMANS FROM MOBILE PHONE DATA

Abstract

In recent days, there has been a rapid increase in cell phone networks. Call Record Data which contains information for a number of users. These mobile data details are used in many important studies such as analyzing mobility pattern, daily activities (physical activities and sleep), size of social groups, call and text messages, etc. Studying human activities has always been a major focus of many researchers. As the society is evolving and more and more technologies are introducing, it is getting quite difficult and complex to understand the cities as compared to before. Pattern of mobility depends on the time a person spends on any particular location and the frequency with which that location is visited. In this paper we have classified individuals in 6 particular categories and finding out the population of a particular area based on the dataset.