IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v16y2005i06ns0129183105007613.html
   My bibliography  Save this article

Modeling The Railway Traffic Using Cellular Automata Model

Author

Listed:
  • KE-PING LI

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • ZI-YOU GAO

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • BIN NING

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

Abstract

The NaSch model is a probabilistic cellular automaton (CA) model for the description of single-lane highway traffic. Based on this model, we propose a new cellular automata model for the railway traffic. The signaling system adopted in this work is the moving block signaling system. In our model, the distance between the following train and its leading train takes into account the velocity of the leading train. The simulation results demonstrate that our model is suitable for simulating the railway traffic. Compared our scheme to the traditional moving-space-block scheme, it is obvious that using our scheme, not only the line capacity can be increased, but also the traffic flow states are safer.

Suggested Citation

  • Ke-Ping Li & Zi-You Gao & Bin Ning, 2005. "Modeling The Railway Traffic Using Cellular Automata Model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 921-932.
    • Handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:06:n:s0129183105007613
    DOI: 10.1142/S0129183105007613
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183105007613
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183105007613?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 407-436.
    2. -, 1991. "International economic highlights 1990," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28929, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. anonymous, 1991. "Fed upgrades functional cost analysis program," Financial Update, Federal Reserve Bank of Atlanta, issue Win, pages 1-2,6.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qi, Le & Zheng, Zhongyi & Gang, Longhui, 2017. "A cellular automaton model for ship traffic flow in waterways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 705-717.
    2. Zhang, San-Tong & Chen, Yi-Chuan, 2011. "Simulation for influence of train failure on railway traffic flow and research on train operation adjusting strategies using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3710-3718.
    3. Toru Seo & Kentaro Wada & Daisuke Fukuda, 2023. "Fundamental diagram of urban rail transit considering train–passenger interaction," Transportation, Springer, vol. 50(4), pages 1399-1424, August.
    4. Anupriya, & Graham, Daniel J. & Bansal, Prateek & Hörcher, Daniel & Anderson, Richard, 2023. "Optimal congestion control strategies for near-capacity urban metros: Informing intervention via fundamental diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    5. Zhou, Yonghua & Tao, Xin & Luan, Lei & Ning, Jingjie, 2018. "Revisiting the 7/23 train accident using computer reconstruction simulation for causation and prevention analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 148(C), pages 1-15.
    6. Qian, Yongsheng & Da, Cheng & Zeng, Junwei & Wang, Xuexin & Zhang, Yongzhi & Xu, Dejie, 2022. "A bidirectional quasi-moving block cellular automaton model for single-track railways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Menzie Chinn & Louis Johnston, 1996. "Real Exchange Rate Levels, Productivity and Demand Shocks: Evidence from a Panel of 14 Countries," NBER Working Papers 5709, National Bureau of Economic Research, Inc.
    2. Brissimis, Sophocles N. & Kamberoglou, Nicos C. & Simigiannis, George T., 2001. "Is there a bank lending channel of monetary policy in Greece? Evidence from bank level data," Working Paper Series 104, European Central Bank.
    3. Roberto Cellini & Tiziana Cuccia, 2013. "Museum and monument attendance and tourism flow: a time series analysis approach," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3473-3482, August.
    4. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," The Institute for International Integration Studies Discussion Paper Series iiisdp067, IIIS.
    5. Choi, In & Kurozumi, Eiji, 2012. "Model selection criteria for the leads-and-lags cointegrating regression," Journal of Econometrics, Elsevier, vol. 169(2), pages 224-238.
    6. Clarida, Richard H, 1994. "Cointegration, Aggregate Consumption, and the Demand for Imports: A Structural Econometric Investigation," American Economic Review, American Economic Association, vol. 84(1), pages 298-308, March.
    7. Abdelhak Senhadji, 1998. "Time-Series Estimation of Structural Import Demand Equations: A Cross-Country Analysis," IMF Staff Papers, Palgrave Macmillan, vol. 45(2), pages 236-268, June.
    8. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    9. Husted, Steven & MacDonald, Ronald, 1998. "Monetary-based models of the exchange rate: a panel perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(1), pages 1-19, January.
    10. Jan Overgaard Olesen, "undated". "A Simple Explanation of Stock Price Behavior in the Long Run: Evidence for Denmark," EPRU Working Paper Series 00-09, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    11. Scheiblecker, Marcus, 2013. "Between cointegration and multicointegration: Modelling time series dynamics by cumulative error correction models," Economic Modelling, Elsevier, vol. 31(C), pages 511-517.
    12. Chinn, Menzie D, 1999. "On the Won and Other East Asian Currencies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 4(2), pages 113-127, April.
    13. Bunzel, Helle, 2006. "FIXED-b ASYMPTOTICS IN SINGLE-EQUATION COINTEGRATION MODELS WITH ENDOGENOUS REGRESSORS," Econometric Theory, Cambridge University Press, vol. 22(4), pages 743-755, August.
    14. Urbain, Jean-Pierre, 1995. "Partial versus full system modelling of cointegrated systems an empirical illustration," Journal of Econometrics, Elsevier, vol. 69(1), pages 177-210, September.
    15. Enrique Moral-Benito & Luis Serv鮠, 2015. "Testing weak exogeneity in cointegrated panels," Applied Economics, Taylor & Francis Journals, vol. 47(30), pages 3216-3228, June.
    16. Boetel, Brenda L. & Liu, Donald J., 2010. "Estimating Structural Changes in the Vertical Price Relationships in U.S. Beef and Pork Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-17, August.
    17. Bajo-Rubio, Oscar & Díaz-Roldán, Carmen & Esteve, Vicente, 2014. "Deficit sustainability, and monetary versus fiscal dominance: The case of Spain, 1850–2000," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 924-937.
    18. Voronkova, Svitlana, 2004. "Equity market integration in Central European emerging markets: A cointegration analysis with shifting regimes," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 633-647.
    19. Qi, Xin & Zhao, Hongyu, 2011. "Some theoretical properties of Silverman's method for Smoothed functional principal component analysis," Journal of Multivariate Analysis, Elsevier, vol. 102(4), pages 741-767, April.
    20. Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:06:n:s0129183105007613. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.