https://doi.org/10.1051/epjconf/202124802002
Driver Behaviour Algorithms for the Cellular Automata-Based Mathematical Model of Traffic Flows
Keldysh Institute of Applied Mathematics RAS, RU-125047, Moscow, Russia
* Corresponding author: chechina.antonina@yandex.ru
Published online: 26 April 2021
The work is devoted to the development of new algorithms describing the complex interaction of drivers for the parallel numerical implementation of the traffic flow model developed by the authors based on the cellular automata theory. As is known from observations, the behaviour of drivers largely determines how difficult it will be to pass a section with a bottleneck (a narrowing, a motionless obstacle, etc.) or even without it at the same flow values. In such conditions, cars can move in a synchronized flow at a more or less constant speed or go into “stop-and-go” mode. The authors have developed a set of algorithms for a large number of different road situations, which is featured in this article.
© The Authors, published by EDP Sciences, 2021
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.
