Robustness Analysis of Layered Public Transport Networks Due to Edge Overload Breakdown

Dong, Youyu; Yang, Xuhua; Chen, Guang

doi:10.5815/ijitcs.2014.03.04

Cited by 11 publications

(7 citation statements)

References 36 publications

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“…However this work considers a sudden failure in a node of the infrastructure of the network and proposes a methodology to determine the vulnerability of a system and to calculate the cost of the consequences. Besides physical damage, overload can also break the network [25]. To deal with this situation, two network models can be combined: one network that contains edges modeling the routes of the buses, and another, in which two nodes are connected if a bus between the involved bus stops exists.…”

Section: Transport Network and Complex Network Analysismentioning

confidence: 99%

A Crowdsourcing Approach for Sustainable Last Mile Delivery

et al. 2018

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Sustainable transportation is one of the major concerns in cities. This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.). The main goal of this work is to provide an intelligent approach for Sustainable Last Mile Delivery, by reducing (or even deleting) the need of dedicated logistic moves (by cars, and/or trucks). The method attempts to reduce the number of movements originated by the parcels delivery by taking advantage of the citizens’ movements. In this way our proposal follows a crowdsourcing approach, in which the citizens that moves in the city, because of their own needs, become temporal deliverers. The technology behind our approach relays on Multi-agent System techniques and complex network-based algorithms for optimizing sustainable delivery routes. These artificial intelligent approaches help to reduce the complexity of the scenario providing an efficient way to integrate the citizens’ routes that can be executed using the different transportation means and networks available in the city (public system, private transportation, eco-vehicles sharing systems, etc.). A complex network-based algorithm is used for computing and proposing an optimized Sustainable Last Mile Delivery route to the crowd. Moreover, the executed tests show the feasibility of the proposed solution, together with a high reduction of the CO 2 emission coming from the delivery trucks that, in the case studies, are no longer needed for delivery.

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Section: Transport Network and Complex Network Analysismentioning

confidence: 99%

A Crowdsourcing Approach for Sustainable Last Mile Delivery

et al. 2018

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“…The number of nodes in each layer network is the same and corresponds to one another, such as an interdependent PTN combined by the public transit geographical network layer and the public transit transfer network layer. (see the detailed process in the works of Dong et al [70], Zhang et al [71], etc.) (ii) The other one is that the study objects are two types of PTNs (e.g., BTN and URTN).…”

Section: Complexitymentioning

confidence: 99%

A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory

Zhang

Lü

et al. 2018

Complexity

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The complexity and resilience of urban public transit network (PTN) are the interdisciplinary study area between transportation engineering and system science, which is a good demonstration of applying complex network theory to promote the development of engineering science. The deep understanding of this study helps to provide a new perspective for analyzing the reliability of urban PTN. Following study process of the complexity and resilience of complex network, this paper reviews the complexity and resilience of PTN from four topics, i.e., the PTN complexity, the static resilience of PTN, the dynamic resilience (cascading failures based resilience) of single layered PTN, and the dynamic resilience of interdependent PTN. In the literature review, multiple key items are, respectively, extracted for each topic, and the engineering applicability of each topic is also analyzed, which are both for obtaining the key features of this study area. Finally, in order to realize the development trend of cyclic and forward—complex network theory, network resilience theory, transforming into a realistic model and method that is close to actual public transit operation, engineering application and practice, and contributing to complex network theory, the study status is summarized and the future development trend is prospected.

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“…Load on an edge in physical layer can be seen as the passenger flows traverse over it. [35] Considering economic limitation, capacities of routes are also considered. Following Motter-Lai model, [30] the capacities of an edge C i j in physical layer are defined as…”

Section: Initializing Of Load and Capacitymentioning

confidence: 99%

“…[34] In fact, PTS are complex systems with layered structure, and these coexisting topologies interact and depend on each other. [35] On the other hand, PTS have loads which present the transmitting capabilities on each nodes or links and change dynamically. [35] So in this paper, we analyse the robustness of urban bus network in both static invulnerability and dynamic cascade failures and choose the Shenyang city (one of the biggest cities in China) as the simulation example throughout the paper.…”

Section: Introductionmentioning

confidence: 99%

“…[35] On the other hand, PTS have loads which present the transmitting capabilities on each nodes or links and change dynamically. [35] So in this paper, we analyse the robustness of urban bus network in both static invulnerability and dynamic cascade failures and choose the Shenyang city (one of the biggest cities in China) as the simulation example throughout the paper. The data of the Shenyang bus network are cited from http://shenyang.8684.cn/ which is a professional urban bus travel web in China.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of robustness of urban bus network

et al. 2016

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In this paper, the invulnerability and cascade failures are discussed for the urban bus network. Firstly, three static models(bus stop network, bus transfer network, and bus line network) are used to analyse the structure and invulnerability of urban bus network in order to understand the features of bus network comprehensively. Secondly, a new way is proposed to study the invulnerability of urban bus network by modelling two layered networks, i.e., the bus stop-line network and the bus line-transfer network and then the interactions between different models are analysed. Finally, by modelling a new layered network which can reflect the dynamic passenger flows, the cascade failures are discussed. Then a new load redistribution method is proposed to study the robustness of dynamic traffic. In this paper, the bus network of Shenyang City which is one of the biggest cities in China, is taken as a simulation example. In addition, some suggestions are given to improve the urban bus network and provide emergency strategies when traffic congestion occurs according to the numerical simulation results.

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Robustness Analysis of Layered Public Transport Networks Due to Edge Overload Breakdown

Cited by 11 publications

References 36 publications

A Crowdsourcing Approach for Sustainable Last Mile Delivery

A Crowdsourcing Approach for Sustainable Last Mile Delivery

A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory

Analysis of robustness of urban bus network

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