The Analysis of Data Traffic from Mobile Internet


Due to the pervasiveness of mobile devices, a vast amount of geo located data is generated, which allows us to gain deep insight into human behavior. Among other data sources, the analysis of data traffic from mobile Internet enables the study of mobile subscribers’ movements over long time periods at large scales, which is paramount to research over a wide range of disciplines, e.g., sociology, transportation, epidemiology, networking, etc. However, to efficiently analyze the massive data traffic from the view of user mobility, several technical challenges have to be tackled before releasing the full potential of such data sources, including data collection, trajectory construction, data noise removing, data storage, and methods for analyzing user mobility. This paper introduces a mobility analytical framework for big mobile data, based on real data traffic collected from second-, third- and fourth-generation networks, which covered nearly 7 million people.

To construct a user’s history trajectories, we apply different rules to extract users’ locations from different data sources and reduce oscillations between the cell towers. The comparison of mobility characteristics between our mobile data and other existing data sources shows the large potential of mobile Internet data traffic to study human mobility. In addition, our experiments discover the changing of city hotspots, the movement patterns during peak hours, and people with similar history trajectories, which uncover the common rules that exist among huge populations in a city.

Benefits of Our Web Application

  • User Registration: – The user needs to be registered in order to login.
  • User Login: – The users need to login inn to access to the system.
  •  Data Collection:- This modules collects and shows the information of uses of mobiles in our area
  • Storage:- If we want to store the prescribed users to our storage, we can store these using storage menu.
  • Analysis Function: After storing the collected information, we can analyze the information for history of that mobiles.
  • Mobile hotspots: By using this modules, we can find the available mobile hotspots in the prescribed area.


  • Pentium 4 or AMD or Celeron Processor
  • RAM 512 MB or above


  • WAMP – Web Application Server
  • PHP – Server Side Scripting Language
  • MySQL – Database
  • Web browser (Firefox, Chrome, Spark)