Open AccessTraffic Flow Modeling on Road Networks Using Cellular Automata Theory
Author(s) -
Antonina Alexandrovna Chechina,
Natalia G. Churbanova,
Марина Трапезникова,
Alexey Viktorovitch Ermakov,
Mikhail German
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.28.12930
Subject(s) - cellular automaton , computation , realization (probability) , computer science , generalization , intersection (aeronautics) , visualization , representation (politics) , traffic flow (computer networking) , interface (matter) , automaton , algorithm , theoretical computer science , flow (mathematics) , computational science , visual modeling , simulation , mathematics , data mining , parallel computing , geometry , programming language , software , engineering , mathematical analysis , computer security , law , aerospace engineering , maximum bubble pressure method , bubble , political science , statistics , politics , unified modeling language
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.