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| A Twotier Network Traffic Congestion Propagation Model Considering Multiple Warning Messages |
| YANG Yaru, SUN Gengxin, BIN Sheng
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| College of Computer Science & Technology, Qingdao University, Qingdao 266071, China |
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Abstract In order to better reveal the propagation mechanism of urban traffic congestion, this paper proposes a two-layer network congestion propagation model coupled with multiple warning information subnetworks and traffic road subnetworks, and explores the propagation mechanism of urban road congestion risk under multiple warning information. The model establishes a state transfer tree based on propagation dynamics and analyzes the propagation threshold using microscopic Markov chain (MMCA). Finally, the impact of multiple warning messages on the propagation of urban traffic congestion is analyzed through simulation experiments. The experimental results show that promoting the propagation of "fast" warning information and inhibiting the spread of "short" warning information can play a positive role in reducing traffic congestion pressure.
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Received: 13 September 2022
Published: 17 July 2024
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