Dynamic assignment model of trains and users on a congested urban-rail line

Poulhès, Alexis

doi:10.1016/j.jrtpm.2020.100178

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…Alfi et al similarly used onboard measurements for the estimation of the wavelength track irregularities [21]. Track faults are mostly analyzed using car body mounted sensors but most of those track faults are introduced due to track surface flaws such as squats and turn out frogs [22]. These track surface faults such as squat and turn out frog occur mostly due to the sudden brakes and lack of track ballast (the ballast filling under the track) that leads to a dip angle.…”

Section: Recent Developments In Railway Condition Monitoringmentioning

confidence: 99%

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

Shah¹,

Chowdhry²,

Memon³

et al. 2020

AETiC

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Usually, railway accidents are caused by train derailment, the mechanical failure of tracks, such as broken rails often caused by lack of railway condition monitoring. Such monitoring could identify track surface faults, such as squats, that act as a catalyst for the track to crack and ultimately break. The research presented in this paper enables real-time identification of railway track faults using image processing techniques such as Canny edge detection and 2D discrete wavelet transformation. The Canny edge detection outperforms traditional track damage detection techniques including Axle Based Acceleration using Inertial Measurement Units and is as reliable as Fiber Bragg Grating. The Canny edge detection employed can identify squats in real-time owing to its specific threshold amplitude using a camera module mounted on a specially designed handheld Track Recording Vehicle (TRV). The 2D discrete wavelet transformation validates the insinuation of the Canny edge detector regarding track damage and furthermore determines damage severity, by applying high sub band frequency filter. The entire algorithm works on a Raspberry Pi 3 B+ utilizing an OpenCV API. When tested using an actual rail track, the algorithm proved reliable at determining track surface damage in real-time. Although wavelet transformation performs better than Canny edge detection in terms of determining the severity of track surface damage, it has processing overheads that become a bottleneck in real-time. To overcome this deficiency a very effective two-stage process has been developed.

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Section: Recent Developments In Railway Condition Monitoringmentioning

confidence: 99%

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

Shah¹,

Chowdhry²,

Memon³

et al. 2020

AETiC

View full text Add to dashboard Cite

show abstract

“…Sun et al explored the travel path of passengers by an integrated Bayesian approach [17]. Alexis considered both train circulation models and passenger assignment models to provide an improving quality of metro service [18]. Deng et al used an improved C-Logit mutipath assignment model to calculate the ratio of each path to be selected [19].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Crowded Propagation on the Metro Network

et al. 2022

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The crowd in a metro system can cause inconvenience and even safety problems to passengers. The study of crowded propagation in metro systems can identify where and when crowds occur, ensuring travel quality and safety. Based on this, a modified susceptible–infected-susceptible (SIS) crowded propagation model is proposed to estimate the risk probability of crowding (RPC) in the metro network. Each station’s real transport capacity is considered. Infection rate and the recovery rate are proposed considering the traffic difference between stations. Using the Beijing metro network as a case study, the spatial and temporal patterns of crowded propagation are analyzed, and the types of nodes suitable for regulation are further discussed. This proposed model can provide a reference for RPC identification and regulation and promote sustainable development of metro operations.

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Coupling analysis of passenger and train flows for a large-scale urban rail transit system

Zhang

Yang

et al. 2022

Front. Eng. Manag.

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Dynamic assignment model of trains and users on a congested urban-rail line

Cited by 3 publications

References 36 publications

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

Analysis of Crowded Propagation on the Metro Network

Coupling analysis of passenger and train flows for a large-scale urban rail transit system

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