ORIGIN-DESTINATION MATRIX ESTIMATION FOR SRI LANKA USING MOBILE NETWORK BIG DATA

In this paper we discuss the potential of mobile network big data (MNBD) for providing insights for transportation planning that can supplement traditional methodologies. Adapting recently developed techniques for analyzing Big Data, we demonstrate their applicability to the Sri Lankan context. The paper assess the efficacy of two different methodologies for providing insights related to transportation planning from MNBD, and we validate the results using data from traditional transportation forecasting methods. We discuss the resultant limitations and the issues of attempting to leverage such data and propose various methods to address the constraints.