Twitter-based traffic delay detection based on topic propagation analysis using railway network topology

Vulnerability in the Railway system is, studied not only from the perspective of network topology characteristic but also as the problem of the level of service relative to structure, nature damage and traffic attribute. Also, emphasis is put on the function of the system rather than the physical network itself, although some of non-serviceability in the railway network is indeed caused by physical failures. The Vulnerability of railway network is thus a decisive factor not only in terms of connectivity, and serviceability, but also in terms of the transport system performance under dynamic process-traffic which should be acknowledged as an integral element within vulnerability assessment. The paper aims at investigating the most typical factors that affect the vulnerability. The vulnerability analysis must consider each factor separately, and, at the same time, as a whole. A method to measure the vulnerability is proposed. Furthermore, this assessment method is used to analyze the Chinese Railway Network (CRN).

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Robustness Measure of China’s Railway Network Topology Using Relative Entropy

Discrete Dynamics in Nature and Society ◽

10.1155/2013/391709 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Fenling Feng ◽

Lei Wang

Keyword(s):

Relative Entropy ◽

Network Topology ◽

Railway Network ◽

Robustness Measure ◽

Graph Measure

This study focused on China’s railway network topology issue from a robustness measure perspective. Relative entropy is used in the study as a measurement of robustness of railway network topology. It is found that the entropy-based measure provides more informative analyses compared to a traditional graph measure. The results indicate that the railway network in the 12th five-year plan has improved robustness when compare to 2008 with respect to deliberate and random attacks.

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Development of Rational Rail Network Topology for High-Speed and Conventional Trains Based on Bacterial Foraging Optimization

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.3.19790 ◽

2018 ◽

Vol 7 (4.3) ◽

pp. 217 ◽

Cited By ~ 1

Author(s):

Sergii Panchenko ◽

Tatyana Butko ◽

Аndrii Prokhorchenko ◽

Larisa Parkhomenko ◽

Oleg Zhurba

Keyword(s):

Mathematical Model ◽

Network Topology ◽

High Speed ◽

Flow Distribution ◽

Bacterial Foraging Optimization ◽

Railway Network ◽

Transportation Demand ◽

Bacterial Foraging ◽

Passenger Trains ◽

The Mathematical Model

Development of projects on higher speeds of passenger trains on the world railways requires investigation into the balanced combination of routes for high-speed and conventional trains considering railway network topology. The objective of the study is consideration of railway network peculiarities regarding transportation demand by designing a mathematical model to find an optimal passenger train flow distribution. In order to formalize the process of a simultaneous search for the rail passenger network topology and determination of the most probable distribution within the formed train flow network for high-speed and conventional trains it has been proposed to use a criterion as a system entropy adapted to the rail passenger-oriented transportation. The concept of entropy is based on isomorphism in systems, which allows monitoring and implementing the link between a micro and macro level in the passenger transportation system. To solve the mathematical model the authors have used an optimization method based on Bacterial Foraging Optimization (BFO). The implementation of the mathematical model based on BFO will make it possible to theoretically substantiate the efficiency of existing and promising projects on higher speeds of passenger trains on the rail transport regarding adaptation of the network topology to transportation demand.

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