Urban traffic modeling and simulation

Dariusz  Badura

doi:10.23762/FSO_VOL5NO4_17_7

Published : 2017-12-14

Vol. 5 No. 4 (2017)

Urban traffic modeling and simulation

Dariusz Badura

DOI: https://doi.org/10.23762/FSO_VOL5NO4_17_7

Abstract

The article describes the use of different methods of building both micro- and macro-models of urban traffic. Traffic at intersections can be modeled with a fixed time increment allowing microscopic traffic analysis at the intersection. Attention was drawn to the importance of event-based models, exemplified by solutions based on hybrid and colored Petri nets. One of the newer solutions is a model that uses agent-based technology to take account of the impact of all traffic participants in the city. The article also describes the use of neural networks in the construction and implementation of urban traffic models. Generative model of artificial neural networks can complement data not reachable in actual traffic measurement, deep learning can be used to posses data from video and impute of missing data. A combination of macroscopic intersection models constructed from deep multilayer neural networks can be used to construct a traffic light control system in a network of streets and intersections.

Keywords:

artificial neural network, deep learning, modeling, Petri nets, urban traffic

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Badura, D. . (2017). Urban traffic modeling and simulation. Forum Scientiae Oeconomia, 5(4), 85–97. https://doi.org/10.23762/FSO_VOL5NO4_17_7

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References

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Dariusz Badura

dbadura@wsb.edu.pl

Affiliation:

University of Dąbrowa Górnicza, Poland Poland

Bio Statement (e.g., department and rank)

Dariusz Badura is an associate professor at the University of Dąbrowa Górnicza. He is IT and electronics specialist. His scientific achievements includes issues in the field of digital modeling, artificial intelligence and digital systems diagnostics. He is the author and co-author of several books. He has published over one hundred papers in the scientific journals and conference proceedings. Previously he was employed at the institute of transport and he dealt with the issue of road traffic modeling and simulation. Now his scientific interest relates to machine learning and deep learning algorithms as well as application of artificial intelligent methods in different areas of life. He is
a member of the investment committee in the science and technology park.