Validation Points in Process of Urban Mobility Assessment Using Telecom Big Data Analytics

Big data sets originating from mobile telecommunication networks, besides their primary purpose within the telecom environment, are becoming more popular in other application areas and in other verticals. Number of researches have been performed where the analytics based on those data sets have proven applicable in use cases related to urban mobility. Besides positive results of those researches, urban mobility researches, planners, and stakeholders in general still heavily rely and base their decisions (urban mobility policies) on traditional, engraved transportation related researches/measurements (e.g. traffic counting, surveying, census data). This article proposes novel approach for urban mobility assessment that utilizes both telecoms originated big data analytics, as primary data source for urban mobility assessment, and traditional measurements as secondary data source. Traditional measurements performed within this research are used for validation of the big data analysis. This article defines and elaborates on number of validation points within the process of urban mobility assessment, where the results of both big data and traditional methodology (used as ground truth) are compared and validated.