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

Hong Xue Xu; Dong Mei Zhang

doi:10.4028/www.scientific.net/AMM.513-517.2702

Paper Titles

Time-Varying Channel Multi-Carrier Modulation Technology Research
p.2680

The Prediction of Spacecraft Disturbance Starlight Refraction and Navigation Simulation Research
p.2687

Study on Robot's Obstacle Avoidance Walking
p.2694

Under the Uniform Linear Array Related Research of Broadband Signal DOA Estimation Algorithm
p.2698

The Application of Cellular Automata in Traffic Flow Management and the Present Situation
p.2702

Study of Stored Product Insects Identification Based on near Infrared Spectroscopy (NIRS)
p.2706

Research on the Slab Warehouse Transportation Scheduling Problem of the Iron-Steel Plant
p.2710

Design and Realization of Anti-Broadband Electromagnetic Interference Wired Phone
p.2714

Design and Analysis of System for Radar Reconnaissance Based on UML
p.2718

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517The Application of Cellular Automata in Traffic...

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

Abstract:

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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

2702-2705

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.2702

Citation:

Cite this paper

Online since:

February 2014

Authors:

Hong Xue Xu*, Dong Mei Zhang

Keywords:

BML Model, Cellular Automaton (CA), NS Model, Traffic Flow

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Stephen Wolfram. Anew kind of Science [M]. USA: Wolfram Media, 2002: 7-12.

Google Scholar

[2] Peng Lijuan, Kang rui. Consider the driver features a one-dimensional cellular automaton traffic flow model [J]. Physics, 2009, 58(2): 831-833.

Google Scholar

[3] Nagd K, Schreckenberg M. A Cellular Automaton Modelfor Freeway Traffic[J]. Phys. I(France), 1992, 2: 2221-2229.

DOI: 10.1051/jp1:1992277

Google Scholar

[4] Dong Jie. Research on Traffic Flow Models Based on Cellular Automaton and Fuzzy Inference [D]. Da Lian: Dalian University of Technology, 2013: 14-15.

Google Scholar

[5] Cremer M, Ludwig J. A fast simulation model for traffic flow on the basis of Boolean operations [J]. Mathematics and Computers in Simulation, 1986, 28: 297-303.

DOI: 10.1016/0378-4754(86)90051-0

Google Scholar

[6] M. Rickert, K. Nagel, M. Schreckenberg, A. Latour. Two lane traffic simulations using cellular automata [J]. Physica A, 231(4): 534-550, (1996).

DOI: 10.1016/0378-4371(95)00442-4

Google Scholar

[7] D. Chowdhury, D.E. Wolf, M. Schreckenberg. Particle hopping models for two-lane traffic with two kinds of vehicles: effects of lane changing rules[J]. Physica A, 235: 417, (1997).

DOI: 10.1016/s0378-4371(96)00314-7

Google Scholar

[8] K. Nagel, D.E. Wolf, P. Wagner and P. Simon. Two-lane traffic rules for cellular automata: A systematic approach[J]. Phys. Rev. E, 58(2): 1425-1437, (1998).

DOI: 10.1103/physreve.58.1425

Google Scholar

[9] M.M. Pederson and P.T. Ruhoff. Entry ramps in the Nagel-Schreckenberg model[J]. Phys. Rev. E 65, 056705(2002).

DOI: 10.1103/physreve.65.056705

Google Scholar