A fuzzy logic approach to modelling the passengers’ flow and dwelling time

Berbey, Aranzazu; Galán, Ramón; Bobi, J. D. Sanz; Caballero, Ricardo J.

doi:10.2495/ut120311

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…This is an extension of existing studies [9]. Particularly, Niu and Zhou [10] and Niu et al [11] propose the concept of "effective loading time" that represents the actual time interval within which the arriving passengers can board a train.…”

Section: Introductionmentioning

confidence: 85%

Metro Timetabling for Time-Varying Passenger Demand and Congestion at Stations

Huang

Schonfeld

2018

Journal of Advanced Transportation

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For the train timetabling problem (TTP) in a metro system, the operator-oriented and passenger-oriented objectives are both important but partly conflicting. This paper aims to minimize both objectives by considering frequency (in the line planning stage) and train cost (in the vehicle scheduling stage). Time-varying passenger demand and train capacity are considered in a nonsmooth, nonconvex programming model, which is transformed into a mixed integer programming model with a discrete time-space graph (DTSG). A novel dwell time determining process considering congestion at stations is proposed, which turns the dwell times into dependent variables. In the solution approach, we decompose the TTP into a subproblem for optimizing segment travel times (OST) and a subproblem for optimizing departure headways from the shunting yard (OH). Branch-and-bound and frequency determining algorithms are designed to solve OST. A novel rolling optimization algorithm is designed to solve OH. The numerical experiments include case studies on a short metro line and Beijing Metro Line 4, as well as sensitivity analyses. The results demonstrate the predictive ability of the model, verify the effectiveness and efficiency of the proposed approach, and provide practical insights for different scenarios, which can be used for decision-making support in daily operations.

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Section: Introductionmentioning

confidence: 85%

Metro Timetabling for Time-Varying Passenger Demand and Congestion at Stations

Huang

Schonfeld

2018

Journal of Advanced Transportation

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“… Publications in scientific international congress [48][49][50][51]  Publications in scientific indexes journals [52][53]  Publications in international Professional magazines [54]  Publications in scientific-technical magazines [55][56][57] R&D Project: "Methodologies and Performance Indexes for railroad systems" [45][46][47] Construction of the content subject Fig. 2.…”

Section: Regional Link Between the Research And Teaching In The Umentioning

confidence: 99%

The R and D activity as a supporting tool for the active teaching and learning methodology in an engineering course

Berbey-Alvarez¹,

Caballero²,

Àlvarez³

2017

Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Global Partnership F

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R&D activities as a supporting tool of the active teaching and learning methodologies in an engineering course has been less explored. This document compares the results obtained after two questionnaires were applied to two different groups of students at the College of Electrical Engineering (FIE) at the Universidad Tecnologica de Panama. The first questionnaire was applied to an undergraduate group of Electromechanical Engineering students. The second questionnaire was applied to FIE faculty members. Both questionnaires try to measure the insertion of R&D results in the curricular content of an engineering course while using the active teaching and learning approach.

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“…In this approach, triangular membership function levels are used. There are three basic levels of passenger flow: low, medium and high [15]. Figures 2 and 3 illustrate how the membership function levels describe the passenger's distribution in each car of the train according to the level of occupancy or preference.…”

Section: Fuzzy Inference Enginementioning

confidence: 99%

“…A fuzzy interference engine iteratively estimates the elements of the OD matrix based on the levels assigned to each station using the principle of maximum entropy. In [15], the authors consider an extended version of the OD matrix, including information of each car of the train. In this version of the algorithm, three levels of demand are assigned to each car of the trains in function of the preference of passengers for a given configuration of the platform geometry, access and location of facilities at each station.…”

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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A fuzzy logic approach to modelling the passengers’ flow and dwelling time

Cited by 10 publications

References 8 publications

Metro Timetabling for Time-Varying Passenger Demand and Congestion at Stations

Metro Timetabling for Time-Varying Passenger Demand and Congestion at Stations

The R and D activity as a supporting tool for the active teaching and learning methodology in an engineering course

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

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