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.

scholarly journals Regional Boundary Control of Traffic Network Based on MFD and FR-PID

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xin Yang ◽  
Juncheng Chen ◽  
Mantun Yan ◽  
Zhao He ◽  
Ziyan Qin ◽  
...  
Keyword(s):  
Boundary Control ◽  
Traffic Safety ◽  
Pid Control ◽  
Traffic Congestion ◽  
Road Network ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Traffic Network ◽  
The Road ◽  
Regional Boundary

In recent years, urban traffic congestion has become more serious and the capacity of roads has declined, resulting in frequent traffic accidents. In order to effectively alleviate the traffic congestion of the regional road network, aiming at the problem of lack of accurate OD data of the road network, a regional boundary control method of the traffic network based on fuzzy RBF neural network PID (FR-PID) is proposed by combining the theory of macroscopic fundamental diagram (MFD). Firstly, based on the traffic survey, the simulation model of the study area is built, and the basic data such as the traffic flow and the time occupation rate of each road section are obtained. Secondly, the simulation data are used to test the existence of MFD in the road network, and the controlled area is defined. Then, the vehicle change model of the road network area is established. Then, in view of the problem of poor adaptive ability of traditional PID control, the FR-PID control structure is designed. Finally, an example is verified by VISSIM software. In the simulation, different control methods are used for comparison and verification, and the simulation results are analyzed. The results show that the control effect of the proposed method is better than that of the traditional method, and the regional average accumulative vehicle number, regional average completed volume, regional accumulative delays, and total vehicle travel time are optimized by 28.21%, 41.19%, 27.06%, and 32.73%, respectively. The research results can provide reference for the management of urban congestion, thereby reducing the number of traffic accidents and improving urban traffic safety.

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.

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.

Research on Control Strategies and Optimal Signal Timing for Traffic Congestion Based on Prediction

2010 ◽  
Vol 40-41 ◽  
pp. 858-865
Author(s):  
Shu Bin Li ◽  
Yong Lin ◽  
Hua Ling Ren ◽  
Jian Cheng Long
Keyword(s):  
Traffic Congestion ◽  
Control Strategies ◽  
Urban Traffic ◽  
Transmission Model ◽  
Effective Control ◽  
Traffic Network ◽  
Cell Transmission Model ◽  
Traffic Jams ◽  
Urban Traffic Network ◽  
The Difference

Designing effective control strategies to traffic jams is an important measure to solve the problem of traffic jams in urban traffic network. Most of the green ratio models clear off crowded traffic flow synchronously at each approach of signal intersection in oversaturated traffic, but ignore the difference of traffic flows in different traffic state, and lead to the queue becoming longer and longer at oversaturated signal intersection. In this paper, the cell transmission model is applied to the propagation of traffic jams, the formation and dissipation of traffic jams in urban traffic network. A new method for predicting the traffic states is proposed, and the future traffic states can be achieved, according to the spatial structure of traffic jam propagation. We use an idea of traffic priority as an management measure to design the optimal green ratio in advance, and the improved green ratio model can realize the goal of preventing traffic congestion and clearing off traffic blockage quickly. Simulation results show that the proposed strategies with appropriate application can effectively control jam dissipation and prevent traffic congestion formation.

Congestion Analysis on Urban Traffic Network

2013 ◽  
Vol 756-759 ◽  
pp. 1635-1638
Author(s):  
Jian Ling Wang ◽  
Hong Bo Lai
Keyword(s):  
Traffic Congestion ◽  
Urban Traffic ◽  
Traffic Network ◽  
Network Measures ◽  
Urban Traffic Network ◽  
Depth Analysis ◽  
Congestion Problems

this paper explores the urban traffic congestion problems, from four angles: the discrimination of the traffic congestion, cause of traffic congestion, congestion characteristics of urban traffic network, measures to solve traffic congestion, to conduct in-depth analysis of traffic congestion.

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.

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