The Theoretical Research on Grey Catastrophe Model of Traffic System

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, an...

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Main Authors: Huan Guo, Yunxin Zhang, Hongmao Zhang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/4448294
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author Huan Guo
Yunxin Zhang
Hongmao Zhang
author_facet Huan Guo
Yunxin Zhang
Hongmao Zhang
author_sort Huan Guo
collection DOAJ
description 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.
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publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-895fb487cbf141a983e914ffb7b8002d2025-08-20T02:09:38ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/4448294The Theoretical Research on Grey Catastrophe Model of Traffic SystemHuan Guo0Yunxin Zhang1Hongmao Zhang2College of Economic and ManagementSchool of Artificial IntelligenceSchool of Artificial IntelligenceAs 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.http://dx.doi.org/10.1155/2022/4448294
spellingShingle Huan Guo
Yunxin Zhang
Hongmao Zhang
The Theoretical Research on Grey Catastrophe Model of Traffic System
Journal of Mathematics
title The Theoretical Research on Grey Catastrophe Model of Traffic System
title_full The Theoretical Research on Grey Catastrophe Model of Traffic System
title_fullStr The Theoretical Research on Grey Catastrophe Model of Traffic System
title_full_unstemmed The Theoretical Research on Grey Catastrophe Model of Traffic System
title_short The Theoretical Research on Grey Catastrophe Model of Traffic System
title_sort theoretical research on grey catastrophe model of traffic system
url http://dx.doi.org/10.1155/2022/4448294
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