Invulnerability Simulation of Urban Agglomeration Traffic Network Cascading Failure Under Random Attack Strategy

2021 ◽  
pp. 177-194
Author(s):  
Chengbing Li ◽  
Zhicheng Yang ◽  
Zhenyu Liu
Keyword(s):  
Urban Agglomeration ◽  
Cascading Failure ◽  
Traffic Network ◽  
Attack Strategy

Cascading Failure Model Considering Multi-Step Attack Strategy

2018 ◽  
Author(s):  
Hengdao Guo ◽  
Herbert Ho-Ching Iu ◽  
Tyrone Fernando ◽  
Ciyan Zheng ◽  
Xi Zhang ◽  
...  
Keyword(s):  
Cascading Failure ◽  
Failure Model ◽  
Attack Strategy

scholarly journals Invulnerability Simulation of Urban Agglomeration Passenger Transport Network under Incomplete Information Attack Strategy

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Chengbing Li ◽  
Zhicheng Yang ◽  
Yuan Zhu
Keyword(s):  
Incomplete Information ◽  
Transportation Network ◽  
Mapping Method ◽  
Urban Agglomeration ◽  
Transport Network ◽  
Load Factor ◽  
Passenger Transport ◽  
Scale Free ◽  
Weight Value ◽  
Attack Strategy

This paper explores the invulnerability of urban agglomeration transportation network under the incomplete information attack strategy. This approach employed the site mapping method to construct the urban agglomeration composite transportation network model, and the network is weighted based on the actual passenger flow. Then the nodes are defined according to the overload conditions. In addition, based on the capacity-load model, the cascading failure model of the urban agglomeration passenger transport network is constructed, and the incomplete information attack strategy and network invulnerability measure index are determined. Finally, the case of Hu-Bao-E-Yu urban agglomeration is simulated to quantify the effects of attack strategies with varied information level, node load factors, and capacity weight and distance weight of the residual connected edge. The results reveal that the network crash speed is positively related to the information span of the attacker unless the information span exceeds 0.9 or accuracy exceeds 0.6. When the information span is low, the information accuracy δ has a critical impact on the network crash speed. Moreover, in the presence of attack, high or low values of node load factor are conducive to the improvement of network invulnerability. As a scale-free network, urban agglomeration transportation network shows strong robustness to random attacks and exhibits vulnerability to deliberate attacks. The capacity weight value α and distance weight value β of residual connected edge have different effects on the network invulnerability under different information span strategies.

scholarly journals Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method

2021 ◽  
Vol 13 (4) ◽  
pp. 1862
Author(s):  
Liang Zhang ◽  
Xubing Zhang ◽  
Shenggu Yuan ◽  
Kai Wang
Keyword(s):  
Sustainable Development ◽  
Impact Assessment ◽  
Transportation Network ◽  
Rapid Development ◽  
Ecological Impact ◽  
Urban Agglomeration ◽  
Traffic Network ◽  
Entropy Weight ◽  
Annual Fluctuation ◽  
Handan City

In recent years, with the rapid development of urban transportation network in China, many problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under the call of sustainable development, it is of great significance to evaluate the economic, social, and ecological (ESE) impact of transportation network in BTH urban agglomeration for promoting the sustainable development of transportation ESE in BTH urban agglomeration. In this paper, 12 indicators in the field of transportation are selected to build the evaluation index system of ESE effects of transportation network in BTH urban agglomeration. By using entropy weight TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model and the Jenks natural breaks classification method, the ESE impacts of transportation network in 13 cities of BTH from 2013 to 2017 are analyzed from the temporal and spatial dimensions. The research shows that: (1) From 2013 to 2017, the economic impact degree of traffic network shows an annual fluctuation trend, the social impact degree increases year by year, and the ecological impact degree decreases year by year; (2) For the cities of BTH, the ESE impact assessment results of transportation network from 2013 to 2017 can be divided into seven clusters. Except Handan City, the ESE impact assessment categories of other cities’ transportation network have been improved, but the proportion of cities in the transition period is still large, especially the “Low-Low-Low” cities. The types of cities in the transitional period need to be focused. It is still a heavy burden to realize the ESE coordination and sustainable development of BTH urban agglomeration transportation network.

Cascading failure model for improving the robustness from the perspective of traffic planning

2019 ◽  
Vol 33 (23) ◽  
pp. 1950262 ◽  
Author(s):  
Cheng Wang ◽  
Zhengdong Huang
Keyword(s):  
Construction Cost ◽  
Cascading Failure ◽  
Traffic Network ◽  
Traffic Networks ◽  
Network Stability ◽  
New Model ◽  
Scale Free ◽  
Free Network ◽  
Stable Performance ◽  
The Cost

In the field of complex networks, construction cost and operational stability are the main topics for traffic networks. Increasing the investment in key edges and reducing the investment in nonkey edges can effectively reduce the cost and improve the network stability. Much empirical evidence shows that an edge with a high load is not always the priority. A new method of unifying the weights is presented. This method can compare the importance of edges in different cascading failure models. By studying a large number of research experiments, a new model for controlling the cascading failure and construction cost is proposed. The performance of three models for the scale-free network and the traffic network has been explored. The reason why the new model shows a more stable performance than the other models has been explained through the computational methods. In conclusion, the new model can control the spreading of a cascading failure in the traffic network well. This paper might be useful for preventing and mitigating cascading failures in other traffic networks.

scholarly journals Analysis of Road Traffic Network Cascade Failures with Coupled Map Lattice Method

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yanan Zhang ◽  
Yingrong Lu ◽  
Guangquan Lu ◽  
Peng Chen ◽  
Chuan Ding
Keyword(s):  
Network Topology ◽  
Road Network ◽  
Road Traffic ◽  
Coupled Map Lattice ◽  
Cascading Failure ◽  
Traffic Network ◽  
Lattice Method ◽  
Network Characteristics ◽  
Road Congestion ◽  
Failure Propagation

In recent years, there is growing literature concerning the cascading failure of network characteristics. The object of this paper is to investigate the cascade failures on road traffic network, considering the aeolotropism of road traffic network topology and road congestion dissipation in traffic flow. An improved coupled map lattice (CML) model is proposed. Furthermore, in order to match the congestion dissipation, a recovery mechanism is put forward in this paper. With a real urban road traffic network in Beijing, the cascading failures are tested using different attack strategies, coupling strengths, external perturbations, and attacked road segment numbers. The impacts of different aspects on road traffic network are evaluated based on the simulation results. The findings confirmed the important roles that these characteristics played in the cascading failure propagation and dissipation on road traffic network. We hope these findings are helpful to find out the optimal road network topology and avoid cascading failure on road network.

A NEW ATTACK ON SCALE-FREE NETWORKS BASED ON CASCADING FAILURES

2009 ◽  
Vol 23 (20n21) ◽  
pp. 2497-2505 ◽  
Author(s):  
KAI YU ◽  
LILI RONG ◽  
JIANWEI WANG
Keyword(s):  
Real Life ◽  
Local Information ◽  
Average Degree ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Scale Free ◽  
Scale Free Networks ◽  
Key Nodes ◽  
Attack Strategy

In this paper, based on the local information about nodes, we propose a new attack strategy, considering the average degree of the node's neighboring nodes. Adopting the cascading model proposed in Chin. Phys. Lett.25(10) (2008) 3826, we investigate the effect of the new attack strategy for the robustness against cascading failures on a typical network, i.e. BA scale-free networks. Compared with two attacks on the nodes with the highest load or the lowest load, numerically we find that our presented attack is the most efficient way to destruct the BA scale-free networks in the case of α ≤ 0.6, where α is a tunable parameter and determines to the load strength of a node. In addition, we also find that the efficiency of the new attack strategy is more obvious near the parameter α = 0.5. We expect our findings to provide insights into the protection of the key nodes for real-life networks to avoid cascading-failure-induced disasters.

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