Multiple traffic states and Braess' paradox in dynamical networks with limited buffer size

Xin, Ling; Chen, Junjie; Zhang, Zong-Kun; Zhu, Kong-Jin; Guo, Ning

doi:10.1209/0295-5075/129/38001

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Yang et al [ 5 ] used Complex Network Theory to evaluate the robustness of Beijing metro network in the face of random failures and malicious attacks. Ling et al [ 6 , 7 ] adopted Complex Network Theory to study the role of dynamic characteristics of traffic in dynamic networks and the traffic processes of static networks in explosive synchronization. Yu et al [ 8 ] studied Nanjing metro network by using Complex Network Theory.…”

Section: Introductionmentioning

confidence: 99%

The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data

Zhang

Gao

2023

PLoS ONE

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The COVID-19 had a huge impact on the transportation industry. In the post-epidemic stage, intercity transportation will face great challenges as places are unsealed, tourism and other service industries begin to recover, and residents’ travel demand gradually increases. An in-depth study of residents’ intercity travel behavior during holidays in the post-epidemic era will help restore public trust in public transportation and improve the quality of public transportation services. Based on traditional research on ways of travelling, the study adopted the Complex Network Analysis Theory. The city clusters of Shandong Peninsula were taken as the research region. The research studied the impact of the differences in regional attributes of the cities in Shandong Peninsula on residents’ intercity travel in the post-epidemic times. A dynamic evolution model of how residents choose to travel was built to simulate the changes to their ways of traveling in the post-epidemic era under two conditions, which are: traveling under the government’s supervision of intercity travel and traveling under the government’s optimization of intercity travel conditions. The conclusions drawn from the analyses of Complex Network Theory and Evolutionary Game Theory are as follows. First, in the holiday intercity travel in the post-epidemic times, the neighboring cities of Shandong Peninsula are closely connected, thus traveling between neighboring cities dominates intercity travel. Second, the travel network concentration of residents on long-term holidays is lower than that on short-term holidays, and the migration intensity of residents is higher than that on short-term holidays, while the willingness of residents’ migration on short-term holidays is higher than that on long-term holidays. The willingness to migrate on holidays is generally lower than that before the epidemic. Third, in a normal intercity travel network, the travel between two cities with medium and long distances is mainly by public transport. However, the dominance of public transport will be affected under the impact of the epidemic. In short-distance travel between two cities, private transport is in an advantageous position, and under the impact of the epidemic, this advantage will become more significant. The government can improve the position of public transport in short-distance travel by making optimizations.

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Section: Introductionmentioning

confidence: 99%

The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data

Zhang

Gao

2023

PLoS ONE

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Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022)

Yao,

Cheng,

Chen

2023

Transportation Research Part B: Methodological

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Traffic dynamics based on dynamic local routing protocol in a finite buffer network

Jing

Zhang

2022

Int. J. Mod. Phys. C

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This paper proposed a novel routing strategy with two tunable parameters, [Formula: see text], [Formula: see text], based on the dynamic local information in a finite buffer network. The system behaves differently from that with a local routing strategy based on the degree with an adjustable parameter [Formula: see text]. Simulations show that, under dynamic local strategy, the maximal capacity of the network system increases with [Formula: see text] whereas it increases with the decrement of [Formula: see text] in the case of all the nodes having identical delivering ability. The dynamic local routing performs much better than the local routing, which is demonstrated by a larger value of the critical packet generation rate. We found that buffer coefficient has a limited impact on the performance of network system. We also demonstrate that a smaller [Formula: see text] would be better if we want to have an excellent traffic capacity considering the travel time, average path length and waiting time. Our study will be helpful to improve traffic performance in finite buffer networks.

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Multiple traffic states and Braess' paradox in dynamical networks with limited buffer size

Cited by 3 publications

References 31 publications

The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data

The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data

Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022)

Traffic dynamics based on dynamic local routing protocol in a finite buffer network

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