Multilane Traffic Flow Modeling Using Cellular Automata Theory

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.

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Traffic Flow Modeling on Road Networks Using Cellular Automata Theory

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.28.12930 ◽

2018 ◽

Vol 7 (2.28) ◽

pp. 225 ◽

Cited By ~ 3

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.

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Development of multiparameter equations for satellite monitoring analysis of traffic flow

MATEC Web of Conferences ◽

10.1051/matecconf/201814304009 ◽

2018 ◽

Vol 143 ◽

pp. 04009 ◽

Cited By ~ 2

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.

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

Mathematica Montisnigri ◽

10.20948/mathmon-2019-46-7 ◽

2019 ◽

Vol 46 ◽

pp. 72-90 ◽

Cited By ~ 1

Author(s):

Natalia Gennadievna Churbanova ◽

◽

Antonina Alexandrovna Chechina ◽

Marina Alexandrovna Trapeznikova ◽

Pavel Alexeevich Sokolov ◽

...

Keyword(s):

Cellular Automata ◽

Automata Theory ◽

Traffic Flows ◽

Road Segments

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Reproduction of experimental spatio-temporal structures in traffic flows using mathematical model based on cellular automata theory

Periodicals of Engineering and Natural Sciences (PEN) ◽

10.21533/pen.v7i1.395 ◽

2019 ◽

Vol 7 (1) ◽

pp. 76 ◽

Cited By ~ 1

Author(s):

Antonina Chechina ◽

Natalia Churbanova ◽

Marina Trapeznikova

Keyword(s):

Mathematical Model ◽

Cellular Automata ◽

Automata Theory ◽

Traffic Flows ◽

Model Based ◽

Temporal Structures ◽

Spatio Temporal

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Spatiotemporal Dynamic Forecasting and Analysis of Regional Traffic Flow in Urban Road Networks Using Deep Learning Convolutional Neural Network

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3098461 ◽

2021 ◽

pp. 1-9

Author(s):

Shaofei Wu

Keyword(s):

Neural Network ◽

Deep Learning ◽

Convolutional Neural Network ◽

Traffic Flow ◽

Road Networks ◽

Spatiotemporal Dynamic ◽

Urban Road ◽

Dynamic Forecasting

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Characteristics of Traffic Flows at Kuda Mati non-traffic light Intersection in Workhour and Holidays

E3S Web of Conferences ◽

10.1051/e3sconf/20187308030 ◽

2018 ◽

Vol 73 ◽

pp. 08030

Author(s):

F. Betaubun Herbin

Keyword(s):

Traffic Flow ◽

Movement Pattern ◽

Survey Method ◽

Traffic Flows ◽

Traffic Light ◽

City Center ◽

Work Time ◽

Traffic Lights ◽

Economic Support ◽

The City

Characteristics of traffic flow needs to be revealed to describe the traffic flow that occurred at the research location. One of the patterns of traffic flow movement of Merauke Regency that is important enough to be observed is the movement pattern that occurs at Kuda Mati Non-traffic lights Intersection. This intersection is one of the access for economic support of Merauke Regency. The intersection connects the city center to the production centers and is used by the community to perform activities in meeting their needs such as working and meeting the needs of clothing, food and shelter. This fulfillment activity is usually differentiated according to work time and holiday time. The method used is survey method to describe the characteristics of traffic flow at the intersection. Data analysis applied MKJI 1997. The results show that peak hour traffic flow occurs at 17.00 - 18.00 on holiday 803 smp / hour, while for working time the traffic flow is evenly distributed with maximum vehicle volume occur at 12:00 to 13:00 which amounted to 471 smp / hour.

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