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Properties of train traffic flow in moving block system |
| Wang Min(王敏), Zeng Jun-Wei(曾俊伟), Qian Yong-Sheng(钱勇生), Li Wen-Jun(李文俊), Yang Fang(杨芳), and Jia Xin-Xin(贾欣欣) |
| School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China |
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Abstract The development direction of railway is to improve the capacity and the service quality, where the service quality includes safety, schedule, high speed, and comfort. In light of the existing cellular automaton models, in this paper, we develop a model to analyze the mixed running processes of trains with maximal speeds of 500 km/h and 350 km/h respectively in the moving block system. In the proposed model, we establish some sound rules to control the running process of train, where the rules include the departure rules in the intermediate stations, the overtaking rules, and the conditions of speed limitation for train stopping at a station or passing through a station. With the consideration of the mixed ratio and the distance between two adjacent stations, the properties of the train traffic flow (including capacity and average speed) are simulated. The numerical results show that the interactions among different trains will affect the capacity, and a proper increasing of the spatial distance between two adjacent stations can enhance the capacity and the average speed under the moving block.
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Received: 26 September 2011
Revised: 23 November 2011
Accepted manuscript online:
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PACS:
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05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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89.40.Bb
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(Land transportation)
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05.60.-k
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(Transport processes)
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| Fund: Project supported by the State Social Science Fund Project, China (Grant No. 11CJY067) and the Natural Science Foundation of Gansu Province, China (Grant No. 1107RJYA070). |
Corresponding Authors:
Qian Yong-Sheng
E-mail: qianyongsheng@mail.lzjtu.cn
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Cite this article:
Wang Min(王敏), Zeng Jun-Wei(曾俊伟), Qian Yong-Sheng(钱勇生), Li Wen-Jun(李文俊), Yang Fang(杨芳), and Jia Xin-Xin(贾欣欣) Properties of train traffic flow in moving block system 2012 Chin. Phys. B 21 070502
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| [1] |
Wang Z J 2008 China High Technology Enterprises 14 20 (in Chinese)
|
| [2] |
Wang J J 2011 Science & Technology Information 18 49 (in Chinese)
|
| [3] |
Hu X H, Zhou X S and Dang J W 2005 Computer Engi- neering and Design 27 70 (in Chinese)
|
| [4] |
Fu Y P 2009 Research on Modeling and Simulations of Train Tracking Operation and Energy Saving Optimiza- tion (Ph. D thesis) (Beijing: Beijing Jiaotong University) (in Chinese)
|
| [5] |
Meng L Y, Yang Z X, Li H Y and An J 2010 China Rail- way Science 31 90 (in Chinese)
|
| [6] |
Chen J H, Zhang X C and Xu B 2011 Journal of System Simulation 23 770 (in Chinese)
|
| [7] |
Yang W, Li H Y and Wang J L 2011 Railway Computer Application 20 7 (in Chinese)
|
| [8] |
Xu H, Ma J J and Long J C 2007 Journal of the China Railway Society 29 1 (in Chinese)
|
| [9] |
Mei C Q, Huang H J and Tang T Q 2009 Acta Phys. Sin. 58 3014 (in Chinese)
|
| [10] |
Sheng P, Zhao S L, Wang J F and Zuo H 2010 Acta Phys. Sin. 59 3831(in Chinese)
|
| [11] |
Zheng L, Ma S F and Jia N 2010 Acta Phys. Sin. 59 4490 (in Chinese)
|
| [12] |
Li Q L, Sun X Y,Wang B H and Liu M R 2010 Acta Phys. Sin. 59 5996 (in Chinese)
|
| [13] |
Ding J X, Huang H J and Tang T Q 2009 Acta Phys. Sin. 58 7591(in Chinese)
|
| [14] |
Wen J, Tian H H, Kan S J and Xue Yu 2010 Acta Phys. Sin. 59 7693 (in Chinese)
|
| [15] |
Qian Y S, Zeng J W, Du J W, Liu Y F, Wang M and Wei J 2011 Acta Phys. Sin. 60 060505 (in Chinese)
|
| [16] |
Nagel K and Schreckenberg M 1992 J. Phys. I 2 2221
|
| [17] |
Biham O, Middleton A A and Levine D A 1992 Phys. Rev. A 46 6124
|
| [18] |
Hardy J, Pomeau Y and De Pazzis O 1976 Phys. Rev. A 13 1976
|
| [19] |
Li X B, Wu Q S and Jiang R 2001 Phys. Rev. E 64 6128
|
| [20] |
Knospe W, Santen L, Schadschneider A and Schreckenberg M 2000 Phys. A 33 477
|
| [21] |
Li K P, Gao Z Y and Ning B 2005 Phys. C 16 921
|
| [22] |
Ning B, Li K P and Gao Z Y 2005 Phys. C 16 1793
|
| [23] |
Zhou H L, Gao Z Y and Li K P 2006 Commum. Comput. Phys. 1 494
|
| [24] |
Zhou H L, Gao Z Y and Li K P 2006 Acta Phys. Sin. 55 1706 (in Chinese)
|
| [25] |
Xun J, Nin B and Li K P 2007 Acta Phys. Sin. 56 5158 (in Chinese)
|
| [26] |
Wang H L and Qian Y S 2008 Railway Transport and Economy 30 82 (in Chinese)
|
| [27] |
Hua W and Liu J 2006 Chin. Phys. 15 687
|
| [28] |
Li K P, Gao Z Y and Mao B H 2007 Chin. Phys. 16 1
|
| [29] |
Li F, Gao Z Y and Li K P 2007 Acta Phys. Sin. 56 3158 (in Chinese)
|
| [30] |
Fu Y P, Gao Z Y and Li K P 2007 Acta Phys. Sin. 56 5165 (in Chinese)
|
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