scholarly journals New lane changing algorithms for microscopic model of traffic flows based on cellular automata theory

2017 ◽  
pp. 1-14 ◽  
Author(s):  
Antonina Alexandrovna Chechina
Keyword(s):  
Cellular Automata ◽  
Automata Theory ◽  
Microscopic Model ◽  
Traffic Flows ◽  
Lane Changing

scholarly journals Simulation of traffic flows on road segments using cellular automata theory and quasigasdynamic approach

2019 ◽  
Vol 46 ◽  
pp. 72-90 ◽  
Author(s):  
Natalia Gennadievna Churbanova ◽  
◽  
Antonina Alexandrovna Chechina ◽  
Marina Alexandrovna Trapeznikova ◽  
Pavel Alexeevich Sokolov ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Automata Theory ◽  
Traffic Flows ◽  
Road Segments

Simulating multilane traffic flows based on cellular automata theory

2012 ◽  
Vol 4 (1) ◽  
pp. 53-61
Author(s):  
M. A. Trapeznikova ◽  
I. R. Furmanov ◽  
N. G. Churbanova ◽  
R. Lipp
Keyword(s):  
Cellular Automata ◽  
Automata Theory ◽  
Traffic Flows

scholarly journals A Continuous Topography Approach for Agent Based Traffic Simulation, Lane Changing Model

2014 ◽  
Vol 2 (1) ◽  
pp. 35
Author(s):  
Ade Jamal
Keyword(s):  
Cellular Automata ◽  
Traffic Simulation ◽  
Point Of View ◽  
Microscopic Model ◽  
Macroscopic Model ◽  
Lane Changing ◽  
Agent Based ◽  
Coordinate Position ◽  
Simple Movement ◽  
Topography Model

Traffic simulation has been being an interesting research subject for transport engineer and scientist, mathematicians and informatics scientist for different point of view. Transport scientists study the traffic complexity and behaviour of traffic participants by using statistical experiment or simulation. The earlier approach was based on macroscopic model deducted from hydrodynamics kinematic wave analogy. Later on the microscopic model was introduced first by invoking cellular automata and then agent based model takes important role in the traffic simulation world. Most of microscopic model are based on a multi-grid element topography model which is a natural environment of cellular automata. Just recently a software engineer started an ambitious work to develop a multipurpose framework for complex traffic simulation. The ingenious idea is to replace the traditional grid based element topography with a continuous two dimensional one from which a region of traffic road or street is built up. Traffic participant is modelled as agent whose physical properties such as its coordinate position, speed, and direction are governed by the kinematic Newtonian law. This article will present this new concept and show how the simple movement of lane changing model that is very well known from the beginning era of traffic simulation become a quite complex movement in the new continuous topography

scholarly journals Traffic Flow Modeling on Road Networks Using Cellular Automata Theory

2018 ◽  
Vol 7 (2.28) ◽  
pp. 225 ◽  
Author(s):  
A Chechina ◽  
N Churbanova ◽  
M Trapeznikova ◽  
A Ermakov ◽  
M German
Keyword(s):  
Cellular Automata ◽  
Initial Conditions ◽  
Road Networks ◽  
Original Model ◽  
Program Package ◽  
Automata Theory ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Urban Road ◽  
The Road

The paper deals with mathematical modeling of traffic flows on urban road networks. The original model is based on the cellular automata theory and presents a generalization of Nagel-Schreckenberg model to a multilane case.Numerical realization of the model is represented in a form of the program package that consists of two modules: User Interface and Visualization module (for setting initial conditions and modelling parameters and visual representation of calculations) and Computation module (for calculations).Computations are carried out for each element of the road (i.e. T or X type intersection, straight road fragment) separately and in parallel, that allows performing calculations on various complex road networks. Different kinds of average characteristics (e.g. the capacity of the crossroad) can be also obtained using the program package. 

scholarly journals Simulation of traffic flows on road segments using cellular automata theory and quasigasdynamic approach

2019 ◽  
Vol 46 ◽  
pp. 72-90
Author(s):  
Natalia Gennadievna Churbanova ◽  
◽  
Antonina Alexandrovna Chechina ◽  
Marina Alexandrovna Trapeznikova ◽  
Pavel Alexeevich Sokolov ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Automata Theory ◽  
Traffic Flows ◽  
Road Segments

PARALLEL SIMULATION AND VISUALIZATION OF TRAFFIC FLOWS USING CELLULAR AUTOMATA THEORY AND QUASIGASDYNAMIC APPROACH

2020 ◽  
pp. 223-236
Author(s):  
Antonina Chechina ◽  
Natalia Churbanova ◽  
Pavel Sokolov ◽  
Marina Trapeznikova ◽  
Mikhail German ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Parallel Simulation ◽  
Automata Theory ◽  
Traffic Flows

scholarly journals Multilane Traffic Flow Modeling Using Cellular Automata Theory

2018 ◽  
Vol 173 ◽  
pp. 06003 ◽  
Author(s):  
Antonina Chechina ◽  
Natalia Churbanova ◽  
Marina Trapeznikova
Keyword(s):  
Mathematical Modeling ◽  
Cellular Automata ◽  
Traffic Flow ◽  
Road Networks ◽  
Automata Theory ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Microscopic Approach ◽  
Traffic Lights ◽  
Urban Road

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.

scholarly journals Driver Behaviour Algorithms for the Cellular Automata-Based Mathematical Model of Traffic Flows

2021 ◽  
Vol 248 ◽  
pp. 02002
Author(s):  
Antonina Chechina ◽  
Natalia Churbanova ◽  
Marina Trapeznikova
Keyword(s):  
Cellular Automata ◽  
Flow Model ◽  
Complex Interaction ◽  
Automata Theory ◽  
Numerical Implementation ◽  
Traffic Flows ◽  
Driver Behaviour ◽  
Traffic Flow Model ◽  
Stop And Go ◽  
New Algorithms

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.

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