A methodological approach to the real-time data analysis from the viaTOLL system
Authors:
- Vitalii Naumov,
- Andrzej Szarata,
- Hanna Vasiutina
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 analyzing 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.
- Record ID
- CUTc7808edba68f44649ec026b5ecd8bc5f
- Publication type
- Publication categories
- ; ;
- Author
- Pages
- 115-128
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 127-128; Bibliografia (liczba pozycji) - 19; Oznaczenie streszczenia - Abstr.
- Book
- Sierpiński Grzegorz, Grzegorz Sierpiński Macioszek Elżbieta Elżbieta Macioszek (eds.): Decision support methods in modern transportation systems and networks, Lecture Notes in Networks and Systems, no. 208, 2021, Cham, Springer, Springer, ISBN 978-3-030-71771-1 (eBook)
- Keywords in English
- toll system, traffic parameters, Big data analysis, Python programming language
- DOI
- DOI:10.1007/978-3-030-71771-1_8 Opening in a new tab
- URL
- https://rd.springer.com/book/10.1007/978-3-030-71771-1 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTc7808edba68f44649ec026b5ecd8bc5f/
- URN
urn:pkr-prod:CUTc7808edba68f44649ec026b5ecd8bc5f
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.