Issue |
EPJ Web Conf.
Volume 173, 2018
Mathematical Modeling and Computational Physics 2017 (MMCP 2017)
|
|
---|---|---|
Article Number | 06003 | |
Number of page(s) | 4 | |
Section | Optimization and Simulation | |
DOI | https://doi.org/10.1051/epjconf/201817306003 | |
Published online | 14 February 2018 |
https://doi.org/10.1051/epjconf/201817306003
Multilane Traffic Flow Modeling Using Cellular Automata Theory
Keldysh Institute of Applied Mathematics RAS, 4 Miusskaya Square, Moscow, Russia
* e-mail: chechina.antonina@yandex.ru
** e-mail: nataimamod@mail.ru
*** e-mail: mtrapez@yandex.ru
Published online: 14 February 2018
The paper deals with the mathematical modeling of traffic flows on urban road networks using microscopic approach. The model is based on the cellular automata theory and presents a generalization of the Nagel-Schreckenberg model to a multilane case. The created program package allows to simulate traffic on various types of road fragments (T or X type intersection, strait road elements, etc.) and on road networks that consist of these elements. Besides that, it allows to predict the consequences of various decisions regarding road infrastructure changes, such as: number of lanes increasing/decreasing, putting new traffic lights into operation, building new roads, entrances/exits, road junctions.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.