Human Mobility Modeling on Metropolitan Scale Based on Multiple Cellphone Networks

Abstract

Modeling human mobility patterns from CDR(Call Detail Record) data is an efficient way to understand the effects of human movements on transportation, society and the environment. Previous human mobility models are focused on single cellphone network CDR data. In the poster, we present a framework to model human mobility patterns on CDR data from multiple cellphone networks. Based on data analysis from multiple cellphone networks, our target is to provide statistic features and mobility patterns in multiple granularities of spatio-temporal resolutions to support novel urban services. Compared with previous work, our approaches aim to establish a more diverse and more stable framework, which is a crucial prerequisite for various smart city services and applications.