A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate

2021 ◽  
Author(s):  
Junwei Zeng ◽  
Yongsheng Qian ◽  
Fan Yin ◽  
Leipeng Zhu ◽  
Dejie Xu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Cellular Automata Model ◽  
Lagrange Coordinate

Study on the Traffic Capacity of Expressway Based on Cellular Automata Model

2014 ◽  
Vol 701-702 ◽  
pp. 172-179
Author(s):  
Xiao Dong Xia ◽  
Lin Ling Xu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Heavy Traffic ◽  
Accident Rate ◽  
Cellular Automata Model ◽  
Traffic Capacity ◽  
Low Load ◽  
The Right ◽  
The Relationship ◽  
Shape Changes

Based on the Nagel-Schrekenberg cellular automaton model of traffic flow, this article analyzed the influence that driving on the right side takes to the traffic flow in the condition of light and heavy traffic. With the combination of fluid dynamics and vehicle dynamics, we established the Cellular Automata model for mixed speed two-lane traffic flow on the rule driving on the right side. Then we used the AHP method to find out the large bus share rate, the number of vehicles changing lanes and the influence law of safety factors on traffic flow. We came to a conclusion that the relationship between traffic flow and load are inverted U shape changes in the low load and high load conditions, the accident rate is the maximum when the V/C (the ratio of traffic flow and the ability of corresponding section) is the minimum; with the increase of V/C, the accident rate decreased gradually.

Cellular automata model for traffic flow at intersections in internet of vehicles

2018 ◽  
Vol 494 ◽  
pp. 40-51 ◽  
Author(s):  
Han-Tao Zhao ◽  
Xin-Ru Liu ◽  
Xiao-Xu Chen ◽  
Jian-Cheng Lu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Cellular Automata Model ◽  
Internet Of Vehicles

THE TRAFFIC BOTTLENECK EFFECTS CAUSED BY THE LANE CLOSING IN THE CELLULAR AUTOMATA MODEL

2003 ◽  
Vol 14 (10) ◽  
pp. 1295-1303 ◽  
Author(s):  
BIN JIA ◽  
RUI JIANG ◽  
QING-SONG WU
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Rate ◽  
Flow Model ◽  
Maximum Flow ◽  
Density Inversion ◽  
Cellular Automata Model ◽  
Traffic Flow Model ◽  
Density Distributions ◽  
Inversion Phenomenon

As a kind of bottleneck, the lane closing has seldomly been investigated with cellular automata model. In this paper, we study this issue using the cellular automata traffic flow model. The capacity and the density distribution of this kind of bottleneck are discussed in details. We find that (i) the capacity of the bottleneck is a little smaller than the maximum flow rate of single-lane road; (ii) different regulations may lead to different density distributions of the vehicles upstream of the lane closing. Moreover, the density inversion phenomenon is reported under certain conditions. This enlightens us to propose that the phenomenon of density inversion reported in many publications may be caused by the bottlenecks on the highway.

The Application of Cellular Automata in Traffic Flow Management and the Present Situation

2014 ◽  
Vol 513-517 ◽  
pp. 2702-2705
Author(s):  
Hong Xue Xu ◽  
Dong Mei Zhang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Traffic Management ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Traffic Network ◽  
Flow Management ◽  
Cellular Automata Model ◽  
Traffic Flow Management

Review the research process and results of cellular automaton used for traffic flow, and against the theory based on cellular automata model established lane, two-lane model, multi-lane traffic network model and discuss the model. Then introduced the research status and development trends of various models. Finally, prospect the future of the cellular automata used to traffic flow managements development trend and research direction, and provide a reference for building traffic management mode suit to the characteristics of the transportation.

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