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 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 Development of multiparameter equations for satellite monitoring analysis of traffic flow

2018 ◽  
Vol 143 ◽  
pp. 04009 ◽  
Author(s):  
Alexander Testeshev ◽  
Vera Timohovetz ◽  
Tatyana Mikeladze
Keyword(s):  
Traffic Flow ◽  
Dynamic Characteristics ◽  
Road Networks ◽  
Weather Conditions ◽  
Satellite Monitoring ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Mathematical Methods ◽  
The Road ◽  
Multiparameter Equations

The paper is dedicated to the development of multiparameter equations of traffic flows for satellite monitoring analysis of the road networks of major cities. Use of multiparameter dependences will allow interpreting the road situation by transforming a static image into dynamic characteristics of traffic and refuse from multiple mono-dependences which account road and weather conditions. Multiparameter dependences are developed based on mathematical methods for traffic flow modeling. The issue of using cartographic resources with updatable databases are investigated, sufficient amount of observation samples was determined for development of reliable functional dependences. The suggested method allows minimizing resource expenses on creation of calculation framework for analysis of network monitoring results for traffic flows on road networks of modern metropolises.

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

scholarly journals Impact of Road Network Topology on Public Transportation Development

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Minzhi Chen ◽  
Fan Wu ◽  
Min Yin ◽  
Jiangang Xu
Keyword(s):  
Public Transportation ◽  
Road Network ◽  
Road Networks ◽  
Urban Road Network ◽  
Urban Road ◽  
The Road ◽  
Layout Structure ◽  
Per Capita ◽  
Transportation Development ◽  
The Impact

Planning of road networks is fundamental for public transportation. The impact of road network density on public transportation has been extensively studied, but few studies in this regard involved evaluation indicators for connectivity and layout of road networks. With 29 cities in China as the study cases, this paper quantifies the layout structure of the road network based on the network’s betweenness centralization and establishes a multivariate linear regression model to perform regression of the logarithm of the frequency of per capita public transportation on betweenness centralization. It is found in the present work that there is a significant correlation between the layout structure of an urban road network and the residents’ utilization degree of public transportation. A greater betweenness centralization of the urban road network, namely a more centralized road network, means a higher frequency of per capita public transportation of urban residents and a higher degree of the residents’ utilization of public transportation. In the development of public transportation, centralized and axial-shaped layout structures of road networks can be promoted to improve the utilization of public transportation.

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

Predictive car-following scheme for improving traffic flows on urban road networks

2019 ◽  
Vol 17 (4) ◽  
pp. 325-334 ◽  
Author(s):  
A. S. M. Bakibillah ◽  
Mahmudul Hasan ◽  
Md Mustafijur Rahman ◽  
Md Abdus Samad Kamal
Keyword(s):  
Road Networks ◽  
Traffic Flows ◽  
Car Following ◽  
Urban Road

scholarly journals MODELLING TRAFFIC FLOWS USING GRAPH THEORY

2010 ◽  
Vol 2 (6) ◽  
pp. 86-89
Author(s):  
Oksana Musyt ◽  
Oksana Nadtochij ◽  
Aleksandr Stepanchiuk ◽  
Andrej Beljatynskij
Keyword(s):  
Graph Theory ◽  
Network Optimization ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Transport ◽  
Traffic Flows ◽  
Urban Road ◽  
The Road ◽  
Traffic Jams ◽  
On The Road

An intensive increase in road transport, particularly individual, in recent years has led to such consequences as increased time spent on travel, the number of forced stops, traffic accidents, the occurrence of traffic jams on the road network, reducing traffic speed and a deteriorated urban road network in cities. The most effective method for solving these problems is the use of graph theory, the main characteristics of which is reliability, durability and accessibility of a free as well as loaded network. Based on their analysis the methods for network optimization are proposed.

Influence Models of Urban Road Network Operation Performance Base on Spatial Autocorrelation Theory

2012 ◽  
Vol 253-255 ◽  
pp. 1922-1929
Author(s):  
Jian Cheng Weng ◽  
Wen Jie Zou ◽  
Jian Rong
Keyword(s):  
Spatial Autocorrelation ◽  
Road Network ◽  
Road Networks ◽  
Operation Performance ◽  
Urban Road Network ◽  
Spatial Characteristics ◽  
Urban Road ◽  
The Road ◽  
Network Operation ◽  
The Impact

In order to better identify the spatial influence between adjacent parts of road networks, the paper introduces the spatial autocorrelation theory in evaluating the operation performance of urban road networks. The research proposes several spatial correlation validation indicators to verify the spatial characteristics among the road networks. Based on the analysis of spatial characteristics, the relationship between operation performance and influencing factors under the impact of spatial effect is examined. Furthermore, a spatial autocorrelation based influence models at three traffic flow levels is developed by using the data from a partial urban road network in Beijing. The model analysis shows that the spatial autocorrelation model is more effective in analyzing the urban road network operation performance under the influence of various factors. This model will be beneficial in identifying traffic network problems and improving traffic operations of the urban road network.

Rule of the Road: Optimization Model of Traffic Rule Based on Cellular Automata

2014 ◽  
Vol 926-930 ◽  
pp. 3550-3553
Author(s):  
Yi Ning Ji
Keyword(s):  
Cellular Automata ◽  
Optimization Model ◽  
Automata Theory ◽  
Lane Change ◽  
Rule Based ◽  
The Road ◽  
Modeling Process ◽  
Change Principles ◽  
Traffic Rule

We tackle a series of traffic rule optimizing problems employing the cellular automata theory. In the modeling process, we introduce the notion of moderation probability to describe the influence exerted by driver, which makes our models more in line with the actual. We attempt to generalize our model. During our research, we discover a principle, which we call the lane change principles of adjacent lanes. Thus, our method is of universal meaning.

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