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Article . 2008
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https://doi.org/10.2495/ut0801...
Article . 2008 . Peer-reviewed
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Lyapunov based stability analysis for metro lines

Authors: Berbey Alvarez, Aranzazu; Galán López, Ramón; San Segundo Carrillo, Pablo; Sanz Bobi, Juan de Dios;

Lyapunov based stability analysis for metro lines

Abstract

This paper on a Lyapunov-based stability analysis for metro railway lines is from the proceedings of 14th International Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors present a direct method to measure the stability of metro system lines, with respect to a previously constructed time schedule. They first model saturation effects using a real time discrete space state representation and then apply a Lyapunov-based stability analysis considering the time delays of trains as disturbances. The result is the definitions of a new set of indices that relate time delays to the validity of the actual time schedule when falling inside a particular ‘stability area’. This data can then be used to predict the need for rescheduling.

Countries
Panama, Spain
Keywords

artificialintelligence., genetic algorithm, metro system, stability, planning, artificial intelligence

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
bronze