Abstract
New approach of urban mobility estimation using urban mobility indicators is presented in the paper. Indicators are calculated from anonymized data from public mobile communication network. The data set is derived from Call Data Records database that contains information about user's telecommunication activities in the predefined area of the corresponding base stations. New approach is realised as expert system based on fuzzy logic and neural network. The result is ANFIS based expert system framework for urban mobility estimation trained using set of rules that were determined using method of surveying experts in domain of urban mobility.
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