Traffic regulation of an underground railway transportation system by state feedback

Campion, G.; Breusegem, V. Van; Bastin, G.

doi:10.1002/oca.4660060406

Cited by 38 publications

(27 citation statements)

References 2 publications

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“…The metro system can be modelled by a system of equations in discreet time [9], 1 1 It has been demonstrated that metro lines are unstable in presence of disturbances if no control action is applied for correcting the itinerary of the trains [1,2]. Such kind of control action could be performed by manipulating stop times or in-between station running times.…”

Section: Traffic Dynamical Modelmentioning

confidence: 99%

“…The dynamics of metro line systems have been deeply studied by several researchers [1][2][3][4][5][7][8][9][10]. Most of these dynamical models are based on the Sasama and Ohkawa [9] linear model.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, some dynamic traffic linear controllers [1][2][3]7] and real time simulators [3,4] have been proposed. Some researchers [4,5] state the importance of nonlinear behaviour of metro lines.…”

Section: Introductionmentioning

confidence: 99%

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Lyapunov based stability analysis for metro lines

Berbey

Galán

Segundo

et al. 2008

WIT Transactions on the Built Environment

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In this work a direct method to measure the stability of metro system lines with respect to a previously constructed time schedule is presented. For this purpose we first model saturation effects using a real time discrete space state representation and then apply a Lyapunov-based stability analysis considering time delays of trains as disturbances. As a result we have been able to define a new set of indexes that relate time delays with the validity of the actual time schedule when falling inside a particular 'stability area'. Results obtained in a simulated environment show that the new stability indexes are able to evaluate quantitatively and qualitatively the effects of saturation in metro lines as well as predict the need for rescheduling

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Section: Traffic Dynamical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lyapunov based stability analysis for metro lines

Berbey

Galán

Segundo

et al. 2008

WIT Transactions on the Built Environment

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“…Several passenger flow models have been proposed to estimate the dwelling time [1][2][3][4][5][6][7][8][9][10][11][12]. This is not a trivial task given that the passenger flow in the different boarding and alighting zones is not homogeneous [3,11].…”

Section: Introductionmentioning

confidence: 99%

“…Some approaches model the passenger boarding and alighting process [1,3,6]. In [9,12], the authors use space-state approaches to estimate the passenger flow for traffic control applications. Xu et al [10] developed a probabilistic approach to describe the distribution of the lines in the platforms using queueing and Markov theory and taking into account the geometry of the platform.…”

Section: Introductionmentioning

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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Robust online detection in serially correlated directed network

Zhou

Tsung

2023

Naval Research Logistics

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As the complexity of production processes increases, the diversity of data types drives the development of network monitoring technology. This paper mainly focuses on an online algorithm to detect serially correlated directed networks robustly and sensitively. First, we consider a transition probability matrix to resolve the double correlation of primary data. Further, since the sum of each row of the transition probability matrix is one, it standardizes the data, facilitating subsequent modeling. Then we extend the spring length based method to the multivariate case and propose an adaptive cumulative sum (CUSUM) control chart on the strength of a weighted statistic to monitor directed networks. This novel approach assumes only that the process observation is associated with nearby points without any parametric time series model, which is in line with reality. Simulation results and a real example from metro transportation demonstrate the superiority of our design.

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Traffic regulation of an underground railway transportation system by state feedback

Cited by 38 publications

References 2 publications

Lyapunov based stability analysis for metro lines

Lyapunov based stability analysis for metro lines

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

Robust online detection in serially correlated directed network

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