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A new cellular automaton for signal controlled traffic flow based on driving behaviors |
| Wang Yang (王扬), Chen Yan-Yan (陈艳艳) |
| Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China |
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Abstract The complexity of signal controlled traffic largely stems from the various driving behaviors developed in response to the traffic signal. However, the existing models take a few driving behaviors into account and consequently the traffic dynamics has not been completely explored. Therefore, a new cellular automaton model, which incorporates the driving behaviors typically manifesting during the different stages when the vehicles are moving toward a traffic light, is proposed in this paper. Numerical simulations have demonstrated that the proposed model can produce the spontaneous traffic breakdown and the dissolution of the over-saturated traffic phenomena. Furthermore, the simulation results indicate that the slow-to-start behavior and the inch-forward behavior can foster the traffic breakdown. Particularly, it has been discovered that the over-saturated traffic can be revised to be an under-saturated state when the slow-down behavior is activated after the spontaneous breakdown. Finally, the contributions of the driving behaviors on the traffic breakdown have been examined.
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Received: 25 September 2014
Revised: 04 December 2014
Accepted manuscript online:
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PACS:
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89.40.Bb
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(Land transportation)
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89.40.-a
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(Transportation)
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02.60.Cb
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(Numerical simulation; solution of equations)
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| Fund: Project supported by the National Basic Research Program of China (Grand No. 2012CB723303) and the Beijing Committee of Science and Technology, China (Grand No. Z1211000003120100). |
Corresponding Authors:
Chen Yan-Yan
E-mail: cdyan@bjut.edu.cn
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Cite this article:
Wang Yang (王扬), Chen Yan-Yan (陈艳艳) A new cellular automaton for signal controlled traffic flow based on driving behaviors 2015 Chin. Phys. B 24 038902
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| [1] |
Nagel K and Schreckenberg M 1992 J. Phys. I France 2 2211
|
| [2] |
Ishibashi Y and Fukui M 1994 J. Phys. Soc. Jpn. 63 2882
|
| [3] |
Barlovic R, Santen L, Schadschneider A and Schreckenberg M 1998 Eur. Phys. J. B 5 793
|
| [4] |
Knospe W and Santen L 2000 J. Phys. A 33 L477
|
| [5] |
Lárraga M E, Río J A and Schadschneider A 2004 Phys. A: Math. Gen. 37 8753
|
| [6] |
Tian J F, Jia N, Zhu N, Jia B and Yuan Z Z 2014 Transp. Res. C 44 282
|
| [7] |
Zheng L, Ma S and Zhong S 2011 Physica A 390 1072
|
| [8] |
Kokubo S, Tanimoto J and Hagishima A 2011 Physica A 390 561
|
| [9] |
Lárraga M E and Alvarez-Icaza L 2014 Chin. Phys. B 23 050701.
|
| [10] |
Huang D W and Huang W N 2003 Phys. Rev. E 67 056124
|
| [11] |
Neumann T and Wagner P 2008 Eur. Phys. J. B 63 255
|
| [12] |
Jiang R, Hu M B, Jia B and Gao Z Y 2014 Comput. Phys. Commun. 185 1439
|
| [13] |
Varas A, Cornejo M D, Toledo B A, Muñoz V, Rogan J, Zarama R and Valdivia J A 2009 Phys. Rev. E 80 056108
|
| [14] |
Tian L J, Huang H J and Liu T L 2009 Chin. Phys. Lett. 26 078903
|
| [15] |
Jan de G, Timothy M G and Omar R 2011 J. Stat. Mech. 4 8
|
| [16] |
Chowdhury D and Schadschneider A 1999 Phys. Rev. E 59 1311
|
| [17] |
Kerner B S 2011 Phys. Rev. E 84 045102
|
| [18] |
Kerner B S 2013 Eur. Phys. J. 102 28010
|
| [19] |
Kerner B S, Klenov S L and Schreckenberg 2014 M J. Stat. Mech. 3 1
|
| [20] |
Kerner B S 2014 Physica A 397 76
|
| [21] |
Tian J F, Yuan Z Z, Treiber M, Jia B and Zhang W Y 2012 Physica A 391 3129
|
| [22] |
Nishinari K and Takahashi D 2000 J. Phys. A 33 7709
|
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