Angelakis, Vangelis, Gundlegård, David, Rydergren, Clas, Rajna, Botond, Vrotsou, Katerina, Carlsson, Richard, Forgeat, Julien, Hu, Tracy H, Liu, Evan L, Moritz, Simon, Zhao, Sky, Zheng, Yaotian, Angelakis, Vangelis, Gundlegård, David, Rydergren, Clas, Rajna, Botond, Vrotsou, Katerina, Carlsson, Richard, Forgeat, Julien, Hu, Tracy H, Liu, Evan L, Moritz, Simon, Zhao, Sky, and Zheng, Yaotian
Signaling data from the cellular networks can provide a means of analyzing the efficiency of a deployed transportation system and assisting in the formulation of transport models to predict its future use. An approach based on this type of data can be especially appealing for transportation systems that need massive expansions, since it has the added benefit that no specialized equipment or installations are required, hence it can be very cost efficient. Within this context in this paper we describe how such obtained data can be processed and used in order to act as enablers for traditional transportation analysis models. We outline a layered, modular architectural framework that encompasses the entire process and present results from initial analysis of mobile phone call data in the context of mobility, transport and transport infrastructure. We finally introduce the Mobility Analytics Platform, developed by Ericsson Research, tailored for mobility analysis, and discuss techniques for analyzing transport supply and demand, and give indication on how cell phone use data can be used directly to analyze the status and use of the current transport infrastructure.