Robustness evaluation for multi-subnet composited complex network of urban public transport

Yang, Haihua; An, Shi

doi:10.1016/j.aej.2020.12.016

Cited by 17 publications

(5 citation statements)

References 30 publications

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“…In order to accurately gauge the contributions and advantages of the improved cascading failure model in this paper, the proposed model is compared with a flow-based cascading failure model [20] for urban public transportation networks to verify its advantages. Under random attack and deliberate attack, when the relationship proportions and parameter c are the same, the minimum values of P v and ρ(E) of the two cascading failure models for urban public transportation networks are shown in Table 1.…”

Section: Discussionmentioning

confidence: 99%

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

Sun

2023

Entropy

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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.

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Section: Discussionmentioning

confidence: 99%

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

Sun

2023

Entropy

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“…The research could provide the most necessary basic reference for the distribution of road network traffics and road network design after autonomous vehicles driving on the road. At the same time, it can provide the necessary reference and basis for issues such as operation mode selection, overall inventory and traffic diversion, which is of great significance for autonomous vehicles on the road [15].…”

Section: Research Backgroundsmentioning

confidence: 99%

Exploring the Distribution of Traffic Flow for Shared Human and Autonomous Vehicle Roads

et al. 2021

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In order to explore the changes that autonomous vehicles would bring to the current traffic system, we analyze the car-following behavior of different traffic scenarios based on an anti-collision theory and establish a traffic flow model with an arbitrary proportion (p) of autonomous vehicles. Using calculus and difference methods, a speed transformation model is established which could make the autonomous/human-driven vehicles maintain synchronized speed changes. Based on multi-hydrodynamic theory, a mixed traffic flow model capable of numerical calculation is established to predict the changes in traffic flow under different proportions of autonomous vehicles, then obtain the redistribution characteristics of traffic flow. Results show that the reaction time of autonomous vehicles has a decisive influence on traffic capacity; the q-k curve for mixed human/autonomous traffic remains in the region between the q-k curves for 100% human and 100% autonomous traffic; the participation of autonomous vehicles won’t bring essential changes to road traffic parameters; the speed-following transformation model minimizes the safety distance and provides a reference for the bottom program design of autonomous vehicles. In general, the research could not only optimize the stability of transportation system operation but also save road resources.

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“…In Reference [12], resource block allocation is transformed into resource block mode allocation, and the optimization problem is solved by combining the Lagrange dual method and ellipsoid method. According to the multiservice characteristics of M2M equipment, document [13] divides resource allocation into two steps. Firstly, the equipment is graded according to the equipment type and the allowable length of residual delay, and the equipment that can be scheduled is selected.…”

Section: Research On M2mmentioning

confidence: 99%

Wireless Resource Management and Resilience Optimization of the M2M‐Oriented Mobile Communication System

Liao

2021

Journal of Sensors

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Machine-to-machine (M2M) communication technology is an emerging technology that can connect smart wireless devices. The most obvious feature of M2M is that the communication between devices does not require human intervention. Therefore, ensuring the low-energy consumption of M2M devices is a necessary condition for prolonging the survival time of their devices. This paper first considers the coexistence of M2M and H2H scenarios. Aimed at the energy efficiency of M2M equipment and the channel capacity of H2H equipment, a multiobjective problem is constructed for joint spectrum and power resource management, and a weighted Chebyshev algorithm is proposed to solve this problem. Secondly, in view of the additional interference problems caused by the introduction of M2M communication, the intercell cooperative link selection algorithm is used to optimize its resilience. The effectiveness of the algorithm is proven by simulation results.

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Robustness evaluation for multi-subnet composited complex network of urban public transport

Cited by 17 publications

References 30 publications

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

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

Exploring the Distribution of Traffic Flow for Shared Human and Autonomous Vehicle Roads

Wireless Resource Management and Resilience Optimization of the M2M‐Oriented Mobile Communication System

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