|
This article is cited in 5 scientific papers (total 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
Citation:
A. A. Chechina, N. G. Churbanova, M. A. Trapeznikova, “Reproduction of spatio-temporal structures of traffic flows using various ways of averaging data”, Matem. Mod., 33:1 (2021), 25–35; Math. Models Comput. Simul., 13:5 (2021), 756–762
Linking options:
https://www.mathnet.ru/eng/mm4251 https://www.mathnet.ru/eng/mm/v33/i1/p25
|
Statistics & downloads: |
Abstract page: | 325 | Full-text PDF : | 60 | References: | 22 | First page: | 9 |
|