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The Theoretical Research on Grey Catastrophe Model of Traffic System

Author

Listed:
  • Huan Guo
  • Yunxin Zhang
  • Hongmao Zhang

Abstract

As we all know, it is difficult for traditional traffic models to deal with the phenomenon of “catastrophes” in traffic state and the traffic problem with incomplete information at the same time. Aiming at the traffic congestion, this paper firstly takes traffic volume as a state variable, speed, and density as control variables to establish the system potential function and theoretically clarifies that the structure of the traffic system has catastrophe characteristics. Secondly, combined with the grey characteristics of traffic system, we construct the grey catastrophe model for traffic system and obtain the traffic potential function with the system time as the state variable by substituting the variables of the model. Finally, the traffic stability is analyzed theoretically based on the potential function. In this paper, the rationality of the grey catastrophe model of traffic system is expounded theoretically, and the grey model theory is well expanded.

Suggested Citation

  • Huan Guo & Yunxin Zhang & Hongmao Zhang, 2022. "The Theoretical Research on Grey Catastrophe Model of Traffic System," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:4448294
    DOI: 10.1155/2022/4448294
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    References listed on IDEAS

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    1. Queen, Catriona M. & Albers, Casper J., 2009. "Intervention and Causality: Forecasting Traffic Flows Using a Dynamic Bayesian Network," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 669-681.
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