Finding a Zoning Path Based on Anti-Block Ability in an Urban Traffic Network

2014 ◽  
Vol 505-506 ◽  
pp. 972-975
Author(s):  
Bing Su ◽  
Chen Cheng ◽  
Yang Xu
Keyword(s):  
Loss Factor ◽  
Road Network ◽  
Urban Traffic ◽  
Traffic Network ◽  
Traffic Networks ◽  
Urban Traffic Network ◽  
Zoning Effect ◽  
Urban Traffic Networks

In Urban traffic networks, a road network is usually been divided into several traffic areas by a path or a few paths, which is known as network zoning. In this paper, we present a parameter based on anti-block ability for measuring the zoning effect, which results in the ratio between the average anti-block ability of k sub-networks and the anti-block ability of whole network is minimum. We define the ratio as zoning loss factor of anti-block ability. Minimum the ratio, the model for finding a zoning vital path (ZVP for short) to divide a network into two sub-networks is established, and present an algorithm for computing the ZVP.

scholarly journals Optimal Topology of Multilayer Urban Traffic Networks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Rui Ding ◽  
Jian Yin ◽  
Peng Dai ◽  
Lu Jiao ◽  
Rong Li ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Lower Layer ◽  
Single Layer ◽  
Urban Traffic ◽  
Optimal Topology ◽  
Traffic Network ◽  
Network Structures ◽  
Traffic Networks ◽  
Urban Traffic Network ◽  
Urban Traffic Networks

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.

Understanding structure of urban traffic network based on spatial-temporal correlation analysis

2017 ◽  
Vol 31 (22) ◽  
pp. 1750230 ◽  
Author(s):  
Yanfang Yang ◽  
Limin Jia ◽  
Yong Qin ◽  
Shixiu Han ◽  
Honghui Dong
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Structural Characteristics ◽  
Small World ◽  
Temporal Correlation ◽  
Urban Traffic ◽  
Utilization Rate ◽  
Traffic Network ◽  
Pagerank Algorithm ◽  
Urban Traffic Network

Understanding the structural characteristics of urban traffic network comprehensively can provide references for improving road utilization rate and alleviating traffic congestion. This paper focuses on the spatial-temporal correlations between different pairs of traffic series and proposes a complex network-based method of constructing the urban traffic network. In the network, the nodes represent road segments, and an edge between a pair of nodes is added depending on the result of significance test for the corresponding spatial-temporal correlation. Further, a modified PageRank algorithm, named the geographical weight-based PageRank algorithm (GWPA), is proposed to analyze the spatial distribution of important segments in the road network. Finally, experiments are conducted by using three kinds of traffic series collected from the urban road network in Beijing. Experimental results show that the urban traffic networks constructed by three traffic variables all indicate both small-world and scale-free characteristics. Compared with the results of PageRank algorithm, GWPA is proved to be valid in evaluating the importance of segments and identifying the important segments with small degree.

Research on the Measurements of the Disequilibrium Degree of the City Traffic Supply and Demand

2014 ◽  
Vol 522-524 ◽  
pp. 1616-1621
Author(s):  
Yan Kui Gao ◽  
Xiang Li Zou ◽  
Min Li ◽  
Lin Lin Tian
Keyword(s):  
Road Network ◽  
Supply And Demand ◽  
Network Capacity ◽  
Urban Traffic ◽  
Traffic Network ◽  
Traffic Demand ◽  
Urban Traffic Network ◽  
The City

This paper, based on the related concepts of traffic supply and traffic demand, starting from the features of the unbalanced traffic supply and demand, analyzes the factors that influence the degree of traffic supply and demand unbalanced and puts forward the measurements of the disequilibrium degree of the city traffic supply and demand based on road network capacity. By the means of the ratio of supply and demand in the urban traffic network difference to the total supply to calculate the degree of disequilibrium, and applicate in the city of M as an example and analysis. The results show that the method is feasible and practical.

scholarly journals The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Rui Ding
Keyword(s):  
Land Use ◽  
Complex Network ◽  
Network Theory ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Traffic ◽  
Traffic Network ◽  
Traffic Networks ◽  
Complex Network Theory ◽  
Urban Traffic Network

The research on complex networks offers novel insight into the analysis of complex urban systems. The objective of this article is to provide a review of complex network theory in urban land-use and transport studies to date. Some traditional integrated studies of urban land-use and traffic networks are summarized and analysed; related research gaps were proposed. Then, this paper reviewed the application of complex network theory in urban land-use and transport research and practice. It shows that the node importance identification method is critical for network protection or attack studies; the multiple centrality assessment and kernel density estimation approaches can be used to represent the intuitionistic connections of urban traffic networks and surrounding land-uses; it can be used to verify the changing trend and variation of landscape connectivity; also it can be applied to the identification of key changed land-use types in land-use cover change; the coevolution process can be treated as an integrated way to discuss the relationships between urban traffic network growth and land-use change, and the multilayer networks based analysis is a novel method to measure their interactions. This paper is essential in establishing apparent research interests and points out the further potential application of complex network theory in urban traffic network and land-use related studies.

An Urban Traffic Network Analysis Method Based on EPs

2011 ◽  
Vol 460-461 ◽  
pp. 142-147
Author(s):  
Gen Lang Chen ◽  
Li Feng An ◽  
Xiao Gang Jin
Keyword(s):  
Network Analysis ◽  
Metabolic Networks ◽  
Cell Metabolism ◽  
The State ◽  
Urban Traffic ◽  
Traffic Network ◽  
Traffic Networks ◽  
Analysis Method ◽  
Functional Characteristics ◽  
Urban Traffic Network

Urban traffic networks (UT-Nets) and cellular metabolic networks (C-Nets) have many common functional characteristics and internal mechanisms. Based on the similarity and traffic conservation, we use extreme pathways (EPs) to analysis the state of UT-Nets. Experiments showed the EPs method for cell metabolism also can be used in urban traffic network analysis after defining some indicators.

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