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A Methodological Approach to the Real-Time Data Analysis from the ViaTOLL System

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Decision Support Methods in Modern Transportation Systems and Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 208))

Abstract

Measuring the traffic parameters may be considered as one of the key operations in traffic management. With the contemporary monitoring systems, this issue transformed from the problem of gathering data to the issue of big data processing. In this chapter, we propose the methodological approach to the processing and analysing of the real-time flow of information from the traffic toll system. The core classes library developed in Python programming language implements the methodology of data processing. The results of the data analysis from the viaTOLL system (Poland) illustrate the use of the proposed approach.

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Acknowledgements

Research described in the chapter is prepared in the frame of the project: “Intelligent system for the production of road and maritime transport statistics with the use of large volumes of data to shape the country’s transport policy” under the Strategic Program of Scientific Research and Development “Social and economic development of Poland in the conditions of globalizing markets” GOSPOSTRATEG.

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Correspondence to Vitalii Naumov .

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Naumov, V., Szarata, A., Vasiutina, H. (2021). A Methodological Approach to the Real-Time Data Analysis from the ViaTOLL System. In: Sierpiński, G., Macioszek, E. (eds) Decision Support Methods in Modern Transportation Systems and Networks. Lecture Notes in Networks and Systems, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-030-71771-1_8

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