Lyapunov based stability analysis for metro lines

Berbey, Aranzazu; Galán, Ramón; Segundo, Pablo San; Sanz-Bobi, Juan de Dios

doi:10.2495/ut080111

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…The main advantages of their proposed approach were its ability to manage constraints and the solvability of the real-time optimization problem. Berbey et al [7] presented a Lyapunov-based stability analysis method for a metro traffic system modeled using the definition of the departure time deviation from the nominal schedule. They defined a new stability index to evaluate the effect of saturation on metro lines and predict the need for rescheduling.…”

Section: A Literature Reviewmentioning

confidence: 99%

Traffic Modeling and Validation for Intersecting Metro Lines by Considering the Effect of Transfer Stations

Khosrosereshki

Moaveni

2022

IEEE Access

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Control signal to delay recovery of time deviation of train i at platform k on line w ,i k Disturbance of time deviation of train i at platform k on line f ,i k Decision function for transferring delay of train i at platform k on line λ k+1 Delay rate at platform k + 1 on line λ c,k+1 Delay rate at platform k + 1 of transfer station on lineThis article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Section: A Literature Reviewmentioning

confidence: 99%

Traffic Modeling and Validation for Intersecting Metro Lines by Considering the Effect of Transfer Stations

Khosrosereshki

Moaveni

2022

IEEE Access

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“…The study of the perturbations for metro line systems are important because they cause that even small perturbations propagate very quickly through the railway network, causing more delayed trains [1]- [4] [5], [6] [7] and it cause low quality of service for passengers waiting on railway platforms. According to Martínez et al, [8] abnormally long dwelling times occur on subway lines due, in some cases, to breakdowns.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the BFU incidence of the Panama metro line 1

Berbey-Alvarez¹,

Arauz²,

Henriquez-Espinosa³

2022

Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research A

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The objetive of this paper is modeling of the BFU incidence of the Panama metro line 1. This paper performed a group of statistical analysis like: Analysis of measures of central tendency, estimation of the characteristic equation of the data and its determination coefficient and the non-parametric Kolmogorov-Sminov test with three contrasts (normal, exponential and Weibull). This research article presents the results of the modeling of the incidence type BFU of Panama metro line 1. These results show that the incidence BFU have a exponential statistical behaviour and it has been decreasing in the 2017-2021. The results of Kolmogorov-Sminov non-parametric test show that the distribution that best fits the data of the incidences of BFU type is the exponential distribution.. Keywords-Panama metro, incidents, braking button of emergency(BFU).

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“…However, for the IC station, that has a demand level of type H-M-L, we observe a greater change in the dwelling time for track 1 and for track 2. It is noteworthy that the platform of the SM station presents a high level of saturation [29][30][31][32]. Indeed, all its cars are crowed and in consequence not all waiting passengers can aboard the train.…”

Section: Sensitivityanalysismentioning

confidence: 99%

A Fuzzy Logic-Based Approach for Estimation of Dwelling Times of Panama Metro Stations

Berbey-Alvarez

Merchan

Poyo

et al. 2015

Entropy

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Passenger flow modeling and station dwelling time estimation are significant elements for railway mass transit planning, but system operators usually have limited information to model the passenger flow. In this paper, an artificial-intelligence technique known as fuzzy logic is applied for the estimation of the elements of the origin-destination matrix and the dwelling time of stations in a railway transport system. The fuzzy inference engine used in the algorithm is based in the principle of maximum entropy. The approach considers passengers' preferences to assign a level of congestion in each car of the train in function of the properties of the station platforms. This approach is implemented to estimate the passenger flow and dwelling times of the recently opened Line 1 of the Panama Metro. The dwelling times obtained from the simulation are compared to real measurements to validate the approach.

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Lyapunov based stability analysis for metro lines

Cited by 8 publications

References 9 publications

Traffic Modeling and Validation for Intersecting Metro Lines by Considering the Effect of Transfer Stations

Traffic Modeling and Validation for Intersecting Metro Lines by Considering the Effect of Transfer Stations

Modeling of the BFU incidence of the Panama metro line 1

A Fuzzy Logic-Based Approach for Estimation of Dwelling Times of Panama Metro Stations

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