Urban Public Traffic Network Research Articles

Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.

An urban public traffic network is a typical high-order complex network. There are multiple types of transportation in an urban public traffic network, and each type has different impacts on urban transportation. Robustness analyses of urban public traffic networks contribute to the safe maintenance and operation of urban traffic systems. In this paper, a new cascading failure model for urban public traffic networks is constructed based on a multi-subnet composite complex network model. In order to better simulate the actual traffic flow in the composite network, the concept of traffic function is proposed in the model. Considering the different effects of various relationships on nodes in the composite network, the traditional cascading failure model has been improved and a deliberate attack strategy and a random attack strategy have been adopted to study the robustness of the composite network. In the experiment, the urban bus-subway composite network in Qingdao, China, was used as an example for simulation. The experimental results showed that under two attack strategies, the network robustness did not increase with the increase in capacity, and the proportion of multiple relationships had a significant impact on the network robustness.

A Recent Survey on Control for Synchronization and Passivity of Complex Networks

Over the past few years, dynamical behaviors of complex networks (CNs) and complex networks with multi-weights (CNMWs) have attracted considerable attention on account of their successfully applying in many distinct fields. This paper attempts to introduce some recent progress in the dynamical behaviors (including synchronization and passivity) for CNs and CNMWs under various control approaches. Firstly, we focus on synchronization, passivity, and their extensions for CNs and CNMWs. Secondly, some control methods, such as adaptive control, pinning control, and impulsive control, used in CNs and CNMWs are also discussed, where some of the existing results along these topics are presented in a tutorial-like fashion. Thirdly, we introduce several applications of synchronization in CNs and CNMWs, especially complex human networks and urban public traffic networks. These existing results are summarized and some interesting future investigations are also highlighted in end.

Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI

The extensive proliferation of urban transit cards and smartphones has witnessed the feasibility of the collection of citywide travel behaviors and the estimation of traffic status in real-time. In this paper, an urban public traffic dynamic network based on the cyber-physical-social system (CPSS-UPTDN) is proposed as a universal framework for advanced public transportation systems, which can optimize the urban public transportation based on big data and AI methods. Firstly, we introduce three modules and two loops which composes of the novel framework. Then, the key technologies in CPSS-UPTDN are studied, especially collecting and analyzing traffic information by big data and AI methods, and a particular implementation of CPSS-UPTDN is discussed, namely the artificial system, computational experiments, and parallel execution (ACP) method. Finally, a case study is performed. The data sources include both traffic congestion data from physical space and cellular data from social space, which can improve the prediction performance for traffic status. Furthermore, the service quality of urban public transportation can be promoted by optimizing the bus dispatching based on the parallel execution in our framework.

Fuzzy Evaluation Method for Comprehensive Performance of Urban Public Traffic Networks

Aiming at the comprehensive performance evaluation of urban public transport network, this paper established an evaluation index system of urban public transport network with target layer, criterion layer and index layer based on analyzing its subjective and objective influencing factors. Otherwise, a method for determining the weight of the comprehensive performance evaluation index of the city bus network and its evaluation model were presented by using fuzzy mathematics principle. The validity and feasibility of the model and method are further validated by the evaluation of the comprehensive performance of the existing bus network in Lanzhou New District. The evaluation results provide theoretical support for the further optimization of urban bus network.

Synchronization between Different Networks with Time-Varying Delay and Its Application in Bilayer Coupled Public Traffic Network

In order to study the dynamic characteristics of urban public traffic network, this paper establishes the conventional bus traffic network and the urban rail traffic network based on the spaceRmodeling method. Then regarding these two networks as the subnetwork, the paper presents a new bilayer coupled public traffic network through the transfer relationship between subway and bus, and this model well reflects the connection between the passengers and bus operating vehicles. Based on the synchronization theory of coupling network with time-varying delay and taking “Lorenz system” as the network node, the paper studies the synchronization of bilayer coupled public traffic network. Finally, numerical results are given to show the impact of public traffic dispatching, delayed departure, the number of public bus stops between bus lines, and the number of transfer stations between two traffic modes on the bilayer coupled public traffic network balance through Matlab simulation.

Research on urban public traffic network with multi-weights based on single bus transfer junction

Regarding single bus transfer junction as a research object, this paper constructs the urban traffic network models with multi-weights taking different bus lines in bus transfer junction as the network nodes, that is, the urban traffic network with multi-weights is given different properties weights at every edge. According to the method of network split, the complex network with multi-weights is split into several different single weighted complex networks. Then, we study the global synchronization of the new network model by changing congestion degrees, transfers coefficient and passenger flow density between different bus lines. Finally, analytical and simulated results are given to show the impact of different properties weights to the public traffic network balance.

A manipulator game model of urban public traffic network

Urban public traffic networks are typical complex systems. Understanding their evolution mechanism attracts much attention in recent years. Here, we propose that the evolution of urban public traffic network can be considered as a game process between two network manipulators, i.e., passengers and company, and the equilibrium solution to the game determines the steady-state behavior of the network. Both analytical solution and numerical simulations to such game model can well describe the empirical data collected from the urban public traffic systems in four Chinese cities (Beijing, Shanghai, Nanjing, and Hangzhou) and the Boston subway. Our results suggest that the manipulator game model grasps the fundamental characteristics of the evolution mechanism of the urban public traffic systems. Similar idea may be extended to other complex systems which have small number of manipulators.

MODEL AND EMPIRICAL STUDY ON SEVERAL URBAN PUBLIC TRANSPORT NETWORKS IN CHINA

In this paper, we present the empirical investigation results on the urban public transport networks (PTNs) and propose a model to understand the results obtained. We investigate some urban public traffic networks in China, which are the urban public traffic networks of Beijing, Guangzhou, Wuhan and etc. The empirical results on the big cities show that the accumulative act-degree distributions of PTNs take neither power function forms, nor exponential function forms, but they are described by a shifted power function, and the accumulative act-degree distributions of PTNs in medium-sized or small cities follow the same law. In the end, we propose a model to show a possible evolutionary mechanism for the emergence of such network. The analytic results obtained from this model are in good agreement with the empirical results.

A Variable Fuzzy Sets Model for Evaluating Urban Public Traffic Network

A Variable Fuzzy Sets Model for Evaluating Urban Public Traffic Network

A game theory model of urban public traffic networks

We have studied urban public traffic networks from the viewpoint of complex networks and game theory. Firstly, we have empirically investigated an urban public traffic network in Beijing in 2003, and obtained its statistical properties. Then a simplified game theory model is proposed for simulating the evolution of the traffic network. The basic idea is that three network manipulators, passengers, an urban public traffic company, and a government traffic management agency, play games in a network evolution process. Each manipulator tries to build the traffic lines to magnify its “benefit”. Simulation results show a good qualitative agreement with the empirical results.

Topological Properties of Urban Public Traffic Networks inChinese Top-Ten Biggest Cities

We investigate the topological characteristics ofcomplex networks as exemplified by the urban public traffic network (UPTN) inChinese top-ten biggest cities. It is found that the UPTNs have small worldbehaviour, by the examination of their topological parameters. The quantitativeanalysis of the transport efficiency of the UPTNs reveals their higher localefficiency El and lower global efficiency Eg, which coincide well with thestatus quo of those Chinese cities still at their developing stage. Furthermore, thetopological properties of efficiency in the UPTNs are also examined, and thefindings indicate that, on the one hand, the UPTNs show robustness to random attacksand frangibility to malicious attacks on a global scale; on the other hand, theinterrelation between UPTN efficiency and network motifs deserves our attention. Themotifs which interrelate the UPTN efficiency are always triangular-formed patterns,e.g. motifs ID 238, ID 174 and ID 102, etc.