MODELING METHODS FOR INTELLIGENT TRANSPORTATION SYSTEMS

Authors

  • Buriyev Sardor Norovich Author
  • Polvonov Kholbek Nematovich Author
  • Tursunov Akhmadjon Akmal ugli Author

Keywords:

Intelligent Transportation Systems (ITS), Traffic flow modeling, Macroscopic traffic flow models,

Abstract

Transport systems and transport phenomena constitute very complex dynamic problems, in which simplified mathematical models are not sufficient for their analysis. More advanced methods and models are needed to analyze causality, coupling, feedback loops, and chaotic behavior in transportation problems. Traffic modeling can facilitate the efficient design and management of today's complex transportation systems. Mathematical models cannot always accurately describe the high complexity and dynamics of transport systems. Therefore, computer simulation models are developed and adjusted to describe the traffic flow characteristics in a given traffic network.

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References

Adams, W. F. (1937). Road traffic considered as a random series: Institution of Civil Engineers.

Bose, A., & Ioannou, P. (2000). Shock Waves in Mixed Traffic Flow.

Ardekani, S., Hauer, E., & Jamei, B. (1992). Traffic impact models. Chapter 7 in Traffic Flow Theory, Oak Bridge National Laboratory Report.

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Published

2024-05-15