Simulating a Macrosystem of Cargo Deliveries by Road Transport Based on Big Data Volumes: A Case Study of Poland

Vitalii Naumov, Andrzej Szarata and Hanna Vasiutina
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Vitalii Naumov: Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31155 Krakow, Poland
Andrzej Szarata: Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31155 Krakow, Poland
Hanna Vasiutina: Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31155 Krakow, Poland

Energies, 2022, vol. 15, issue 14, 1-23

Abstract: Simulation models of transport systems are a key tool for solving many problems in the field of management of these systems. The methodologies for creating such models use datasets on both transport infrastructure and demand for the delivery of goods or passenger transport, however, many factors are considered based on assumptions due to the complexity. This article describes the approach to modeling the cargo transportation system for road transport in Poland based on data obtained by the Central Statistical Office from the TD-E survey. This approach avoids many assumptions about demand as the demand parameters are estimated based on a sample representing the general population—a set of all economic entities generating freight traffic. Basic procedures in the developed approach have been implemented as Python scripts. As a result of the use of the proposed methodology, a country-wide road transport model was obtained based on the TD-E survey from 2018. The adequacy of the developed model was assessed based on the results of the General Traffic Measurement from 2015. The obtained model is of satisfactory quality (the coefficient of determination equals 0.62), which can be improved after calibrating the space resistance functions and improving the traffic distribution procedure.

Keywords: road transport of loads; traffic studies; simulation model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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