Complexity analysis of traffic time series based on multifractality and complex network

Bao, Juan; Chen, Wei; Shui, Yi-shui; Xiang, Zhengtao

doi:10.1109/ictis.2017.8047774

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…Hu et al [23] used complex network theory to analyze the topological characteristics of traffic road networks and proposed a new graph spatiotemporal model for traffic flow prediction by combining topological features with graph neural networks. Bao et al [24] studied the complexity and nonlinear characteristics of traffic flow evolution based on complex networks combined with cellular automata. Qiang et al [25] compared and analyzed the complex network characteristics of the Harbin multi-mode weighted traffic network and three single-mode subnetworks and concluded that the multimode traffic network has typical small-world characteristics.…”

Section: Introductionmentioning

confidence: 99%

Station Placement for Sustainable Urban Metro Freight Systems Using Complex Network Theory

Zheng,

Yang,

et al. 2024

Sustainability

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To solve the problem of urban freight demand and build an efficient, practical, intelligent, green, and sustainable new logistics system, this paper considers the application of the subway network to urban freight transportation and studies the location problem of subway transit stations in the urban freight network. According to the differences between different subway stations, the nodal degree, medial centrality, proximity centrality, and regional accessibility are proposed as the evaluation indexes, and the improved fuzzy analytic hierarchy method and entropy weight method are used to calculate the index weight. The TOPSIS evaluation method is used to evaluate the importance of each subway station, and the importance evaluation model of subway stations is constructed. Combined with the distribution location and transportation demand of urban express delivery outlets, a two-tier planning model for the location of subway transfer stations was constructed with total cost and customer satisfaction as the objective functions, and the case studies were carried out by taking Jiangning District, Lishui District, and Gaochun District of Nanjing as the research objects. The results show that Hohai University Focheng West Road, Zhengfang Middle Road, Qunli, and Gaochun can be transformed into subway transfer stations and used as transshipment centers of the urban cargo transportation network. Compared with the original ground transportation network, 52.87% of the ground transportation distance in the optimized transportation network is replaced by subway transportation, and the total cost of logistics transportation is reduced by 8.73%, which verifies the feasibility of subway for urban cargo transportation, reduces logistics transportation costs, and relieves the pressure of ground transportation, which is of great significance for the sustainable development of urban logistics.

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Section: Introductionmentioning

confidence: 99%

Station Placement for Sustainable Urban Metro Freight Systems Using Complex Network Theory

Zheng,

Yang,

et al. 2024

Sustainability

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“…On this basis, a weighted network is constructed to determine the weight of each value, and OVGA is applied to production water management [20], which shows that OVGA can deal with MADM. In OVGA method, the complex networks and the visibility graph methods are combined [21]- [24]. Complex networks describe a wide range of systems.…”

Section: Introductionmentioning

confidence: 99%

An Improved Ordered Visibility Graph Aggregation Operator for MADM

2022

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For multi-attribute decision-making (MADM), how to aggregate data and determine attribute weight is still an open issue. Ordered visibility graph aggregation (OVGA) operator can objectively and effectively determine the weight of each attribute value in the network and solve the problem of data fusion. OVGA not only considers the attribute values of nodes in the network, but also synthesizes the influence of the distance between nodes on the weight distribution. However, when there are multiple identical attribute values in the network, the weights assigned by this method are unreasonable. This paper proposes an improved OVGA operator method based on OVGA, which redefines the distance between visual nodes. When there are multiple identical attribute values in the network, the distance formula is redefined in the form of a piecewise function, so that equivalent nodes are given the same weight. The improved method proposed in this paper not only considers the correlation between the visible nodes, but also fully considers the rationality of the weight distribution of the equivalent node support after the fusion of the entire network data. Meanwhile, through several practical application examples which including an application in produced water management, Dongping reservoir tourism resources and the academic ranking of world universities to illustrate the effectiveness and practicability of this method for MADM in complex networks.INDEX TERMS visibility graph, aggregation operator, the ordered weighted average operator, multiattribute decision making

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“…Time series analysis and prediction is an important topic which is used in the fields of traffic [1], finance [2], engineering [3]- [5], complex networks [6]- [9], and so on [10]- [15]. Time series analysis can help analyze the characteristics of data and explore potential information [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

A Fast Algorithm for Network Forecasting Time Series

Liu

Deng

2019

IEEE Access

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Time series has a wide range of applications in various fields. Recently, a new math tool, named as visibility graph, is developed to transform the time series into complex networks. One shortcoming of the existing network-based time series prediction methods is time consuming. To address this issue, this paper proposes a new prediction algorithm based on visibility graph and Markov chains. Among the existing network-based time series prediction methods, the main step is to determine the similarity degree between two nodes based on link prediction algorithm. A new similarity measure between two nodes is presented without the iteration process in the classical link prediction algorithm. The experiments show that the proposed method has better accuracy with less time consuming.

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Complexity analysis of traffic time series based on multifractality and complex network

Cited by 9 publications

References 19 publications

Station Placement for Sustainable Urban Metro Freight Systems Using Complex Network Theory

Station Placement for Sustainable Urban Metro Freight Systems Using Complex Network Theory

An Improved Ordered Visibility Graph Aggregation Operator for MADM

A Fast Algorithm for Network Forecasting Time Series

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