scholarly journals Cellular automata for one-lane traffic flow modeling

2005 ◽  
Vol 13 (1) ◽  
pp. 63-74 ◽  
Author(s):  
M.E. Lárraga ◽  
J.A. del Río ◽  
L. Alvarez-lcaza
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Modeling

Traffic flow modeling in fog with cellular automata model

2021 ◽  
Vol 35 (11) ◽  
pp. 2150180
Author(s):  
Xin-Hong Qiang ◽  
Lei Huang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
System Capacity ◽  
Open Boundary ◽  
Flow Modeling ◽  
Test Scenario ◽  
Cellular Automata Model ◽  
Visual Distance ◽  
Bottleneck Capacity

To explore the traffic flow characteristics in fog, a modified one-dimensional cellular automata model is developed considering the limited visual distance of drivers in low visibility. We suppose that drivers can be categorized into seven groups according to the radical degree, and the number of drivers follows the Gaussian distribution in general road system. Capacity shrinkage is confirmed, and there is a positive correlation between the speed limits and extent of capacity shrinkage. When on-ramp bottleneck is considered in open boundary condition, bottleneck capacity fluctuates greatly when enter probability of on-ramp is lower than the threshold, and the dependency between main lane capacity and distance away from on-ramp is weak in most cases. Besides, capacity phase diagrams of various test scenario show that the bottleneck capacity will not improve after the entry probability of the main lane reaches a certain value. This study can be an inspiration for traffic flow modeling in fog and other infrequent weather.

A cellular automata traffic flow modeling of desired speed variability

2013 ◽  
Vol 22 (1) ◽  
pp. 018902 ◽  
Author(s):  
K. Bentaleb ◽  
K. Jetto ◽  
H. Ez-Zahraouy ◽  
A. Benyoussef
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Modeling

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.

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