Analysis of the Property of Heavy Haul Railway’s Traffic Flow Based on Hybrid Cellular Automaton

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 288)


According to the property of heavy haul transportation on Da-Qin line, this paper, based on hybrid cellular automaton, proposes a traffic flow model to simulate the operation of the train on Da-Qin line and to analyze the property of traffic flow. It investigates the relationship between the original speed and the braking distance of 20,000 t heavy haul trains on horizontal line, and analyses the relationship between the slope and the braking distance of the trains on sloping line. The simulation results are compared with the theoretical results to verify the feasibility and availability of the model.


Heavy haul railway Hybrid cellular automaton Traffic flow 



This work was financially supported by The High-tech R&D project of The Ministry of Railways of the People’s Republic of China (Grant No. 2011X021-c). The authors acknowledge this support.


  1. 1.
    Hailong Wang, Yongsheng Qian (2008) The simulation Of PDL passing capacity based on cellular automaton. Railway Transp Econ 30(7):82–84 (in Chinese)Google Scholar
  2. 2.
    Neumann JV (1966) The theory of self-reproducing automata. University of Illinois Press, UrbanaGoogle Scholar
  3. 3.
    Wolfram S (1986) Theory and applications of cellular automata. World Scientific, SingaporeMATHGoogle Scholar
  4. 4.
    Nagel K, Sehreekenberg M (1992) A cellular automaton model for freeway traffic. J Phys I 2(12):2221–2222Google Scholar
  5. 5.
    Keping Li, Ziyou Gao, Bin Ning (2005) Modeling the railway traffic using cellular automata model. Int J Mod Phys C 16:921–932 (in Chinese)Google Scholar
  6. 6.
    Keping Li, Ziyou Gao, Bin Ning (2005) Cellular automata model for railway traffic. J Comput Phys 209:179–192 (in Chinese)Google Scholar
  7. 7.
    Bin Ning, Keping Li, Ziyou Gao (2005) Modeling fixed-block railway signaling system using cellular automata model. Int J Mod Phys C 16:1793–1801 (in Chinese)Google Scholar
  8. 8.
    Bin Ning (2005) The research of train following operation models and traffic flow features in rail transportation systems. Beijing Jiaotong University, Beijing (in Chinese)Google Scholar
  9. 9.
    Hualiang Zhou, Ziyou Gao, Keping Li (2006) Cellular automaton model for moving-like block system and study of train’s delay propagation. Acta Physica Sinica 55(4):1706–1710 (in Chinese)Google Scholar
  10. 10.
    Feng Li, Ziyou Gao, Keping Li (2007) Analysis of the property of train flow in the fixed autoblock system. Acta Physica Sinica 56(6):3158–3165 (in Chinese)Google Scholar
  11. 11.
    Yinping Fu, Ziyou Gao, Keping Li (2007) The characteristic analysis of the traffic flow of trains in speed-limited section for fixed-block system. Acta Physica Sinica 56(9):5165–5171 (in Chinese)Google Scholar
  12. 12.
    Jing Xun, Bin Ning, Keping Li (2007) Network-based train-following model and study of train’s delay propagation. Acta Physica Sinica 56(9):5158–5164 (in Chinese)Google Scholar
  13. 13.
    LiXin Qian (2010) The world latest progress of heavy railway transportation technology. Electr Driv Locomotives 1:3–7 (in Chinese)Google Scholar
  14. 14.
    Shengli Xia, Hao Yang (2011) Research of the model of heavy Haul railway in China. Railw Transp Econ 33(9):9–13 (in Chinese)Google Scholar
  15. 15.
    Pries W, Thanailakis A, Card HC (1986) Group properties of cellular automata and VLSI applications. IEEE Trans Com 35:1013–1024 (in Chinese)CrossRefMATHGoogle Scholar
  16. 16.
    Junyong Wang, Meichuang Yang (2008) Calculation and analysis of braking of 20,000t heavy haul combined train in Datong-Qinhuangdao line. Diesel Locomotives 4:5–7 (in Chinese)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijingChina

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