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JOURNALS // Matematicheskoe modelirovanie // Archive

Matem. Mod., 2021 Volume 33, Number 1, Pages 25–35 (Mi mm4251)

This article is cited in 5 papers

Reproduction of spatio-temporal structures of traffic flows using various ways of averaging data

A. A. Chechina, N. G. Churbanova, M. A. Trapeznikova

Keldysh Institute of Applied Mathematics, RAS

Abstract: The work is devoted to testing of the two-dimensional microscopic cellular automatabased traffic flow model created by the authors using test problems found in literature, as well as comparing the obtained spatio-temporal diagrams of traffic flow speeds with experimental data. Optimal methods of averaging data for a more adequate reflection of the results are investigated.
The presented results confirm that the proposed CA model adequately reproduces the patterns observed on the velocity diagrams of real traffic flows, and also provides greater similarity with experimental data in comparison with other presented models.

Keywords: microscopic traffic flow model, cellular automata, data averaging, spatiotemporal diagram.

Received: 04.06.2020
Revised: 04.06.2020
Accepted: 26.10.2020

DOI: 10.20948/mm-2021-01-02


 English version:
Mathematical Models and Computer Simulations, 2021, 13:5, 756–762


© Steklov Math. Inst. of RAS, 2024