Traffic dynamics in the correlated networks with user equilibrium

Sun, Huijun; Zhang, Hui; Wu, Jianjun; Bi, Jian

doi:10.1007/s11071-012-0729-z

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…However, their results may not seem intuitive at first and did not take into account the particularity of traffic network impedance. Some earlier studies relate to the optimal network structures, such as Wu et al [21], Sun et al [64], Sun et al [23], and Maniadakis and Varoutas [65], did not consider the situation of multilayer traffic networks, and simply take single-layer network as their research objects, which were not in line with the actual situations. erefore, our study is relatively novel, which united these two aspects together.…”

Section: Combination Of Ese Methods and The Novelty Of Ismentioning

confidence: 99%

“…However, in Wu et al's study [21] and some related studies, the influence of τ is still unclear. In the research of Wu et al [21] and Sun et al [64], they treat τ � 1.5, while in the research of Sun et al [23] and Maniadakis and Varoutas [65], they treat τ � 1. Hence, in this paper, we expand the interval and choose τ ∈ [1, 2] to better assess and illustrate the changing trends of multilayer networks.…”

Section: Measurement Of Congestion Factormentioning

confidence: 99%

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Optimal Topology of Multilayer Urban Traffic Networks

et al. 2019

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Previous urban traffic network-based studies have been based mostly on single-layer networks. Based on their shortcomings, starting from the perspective of a multilayer urban traffic network, this paper takes the different anticongestion abilities and network characteristics of various network structures under the condition of traffic congestion as the research object. Then, a comparative experiment is performed via simulation, and the optimal multilayer urban traffic network topology is obtained under different conditions. It is found that these scale-free related multilayer networks have relatively strong ability to support more traffic flows and have higher anticongestion abilities, regardless of whether it is a lower-layer or upper-layer network. The research results are helpful to deepen our understanding of the characteristics of traffic network structures, help scholars further cognize the structural properties of multilayer urban traffic networks, practically help urban traffic network planners to further optimize the urban traffic network, and broaden the study of multilayer traffic networks.

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