The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes

Marcin Jacek Kłos; Łukasz Jaroszek; Jakub Oziomek

doi:10.1007/978-3-031-85751-5_10

The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes

Marcin Jacek Kłos
, Łukasz Jaroszek
, Jakub Oziomek

Department of Transport Systems, Traffic Engineering and Logistics (RT/RT4)

Automatix Sp. Z O.o.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Creating traffic models requires a lot of time-consuming and costly research. In addition, the surveys require the presence of observers who conduct observation or surveying at selected locations. This makes the acquisition of traffic data time-consuming, and the data does not describe the phenomenon studied in a comprehensive manner. The assumption of the project was to create a system enabling the construction of multimodal traffic models in dedicated software using relevant BIG DATA datasets. This Project assumes a departure from traditional traffic measurements and traffic behaviour studies and their replacement with BIG DATA. The optimal source of data is GPS technology; this technology is used in practice for air and car navigation, as well as by many mobile applications, which installed in smartphones facilitate movement in space and allow optimisation of activities, for example, finding the shortest or fastest route to a specific destination.

Original language	English
Title of host publication	Road Traffic Research, Analysis, and Modeling
Editors	Elżbieta Macioszek, Grzegorz Sierpiński, Anna Granà
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	135-144
Number of pages	10
ISBN (Print)	9783031857508
DOIs	https://doi.org/10.1007/978-3-031-85751-5_10
Publication status	Published - 2025
Event	20th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2024 - Katowice, Poland Duration: 10 Sept 2024 → 11 Sept 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1315 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	20th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2024
Country/Territory	Poland
City	Katowice
Period	10/09/24 → 11/09/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Transport model
spatial analysis
sustainable urban mobility plan
traffic parameters
transport planning

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-031-85751-5_10

Cite this

Kłos, M. J., Jaroszek, Ł., & Oziomek, J. (2025). The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes. In E. Macioszek, G. Sierpiński, & A. Granà (Eds.), Road Traffic Research, Analysis, and Modeling (pp. 135-144). (Lecture Notes in Networks and Systems; Vol. 1315 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-85751-5_10

Kłos, Marcin Jacek ; Jaroszek, Łukasz ; Oziomek, Jakub. / The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes. Road Traffic Research, Analysis, and Modeling. editor / Elżbieta Macioszek ; Grzegorz Sierpiński ; Anna Granà. Springer Science and Business Media Deutschland GmbH, 2025. pp. 135-144 (Lecture Notes in Networks and Systems).

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abstract = "Creating traffic models requires a lot of time-consuming and costly research. In addition, the surveys require the presence of observers who conduct observation or surveying at selected locations. This makes the acquisition of traffic data time-consuming, and the data does not describe the phenomenon studied in a comprehensive manner. The assumption of the project was to create a system enabling the construction of multimodal traffic models in dedicated software using relevant BIG DATA datasets. This Project assumes a departure from traditional traffic measurements and traffic behaviour studies and their replacement with BIG DATA. The optimal source of data is GPS technology; this technology is used in practice for air and car navigation, as well as by many mobile applications, which installed in smartphones facilitate movement in space and allow optimisation of activities, for example, finding the shortest or fastest route to a specific destination.",

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Kłos, MJ, Jaroszek, Ł & Oziomek, J 2025, The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes. in E Macioszek, G Sierpiński & A Granà (eds), Road Traffic Research, Analysis, and Modeling. Lecture Notes in Networks and Systems, vol. 1315 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 135-144, 20th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2024, Katowice, Poland, 10/09/24. https://doi.org/10.1007/978-3-031-85751-5_10

The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes. / Kłos, Marcin Jacek; Jaroszek, Łukasz; Oziomek, Jakub.
Road Traffic Research, Analysis, and Modeling. ed. / Elżbieta Macioszek; Grzegorz Sierpiński; Anna Granà. Springer Science and Business Media Deutschland GmbH, 2025. p. 135-144 (Lecture Notes in Networks and Systems; Vol. 1315 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2025

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AB - Creating traffic models requires a lot of time-consuming and costly research. In addition, the surveys require the presence of observers who conduct observation or surveying at selected locations. This makes the acquisition of traffic data time-consuming, and the data does not describe the phenomenon studied in a comprehensive manner. The assumption of the project was to create a system enabling the construction of multimodal traffic models in dedicated software using relevant BIG DATA datasets. This Project assumes a departure from traditional traffic measurements and traffic behaviour studies and their replacement with BIG DATA. The optimal source of data is GPS technology; this technology is used in practice for air and car navigation, as well as by many mobile applications, which installed in smartphones facilitate movement in space and allow optimisation of activities, for example, finding the shortest or fastest route to a specific destination.

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ER -

The Use of Large Data Sets Known as Big Data in Modelling and Traffic Management Processes

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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