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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1, Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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Metro train rescheduling by adding backup trains under disrupted scenarios

Jiateng YIN, Yihui WANG, Tao TANG, Jing XUN, Shuai SU

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 418-427 doi: 10.15302/J-FEM-2017044

Abstract: Metro dispatchers have taken a practical strategy of rescheduling the timetable and adding several backupIn this study, we first develop a mixed integer programming model to determine the optimal train reschedulingThe aim of train rescheduling is to frequently dispatch trains to evacuate delayed passengers after theNumerical experiments are implemented to verify the effectiveness of the proposed train rescheduling

Keywords： train rescheduling backup train metro line disruption timetable

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High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2016, Volume 2, Issue 3, Pages 366-373 doi: 10.1016/J.ENG.2016.03.019

Abstract:

Trains are prone to delays and deviations from train operation plans during their operation becausetimetable based on historical statistics and the modeling of a high-speed railway train timetable basedThe results prove that conflict prediction after fuzzy processing of the time intervals of a train timetable, train timetable improvement, and other purposes.Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning” [Engineering (2016)

Keywords： High-speed railway Train timetable Conflict prediction Fuzzy temporal knowledge reasoning

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Energy-saving operation approaches for urban rail transit systems

Ziyou GAO, Lixing YANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 139-151 doi: 10.1007/s42524-019-0030-7

Abstract: systematically introduces energy-saving approaches for urban rail transit systems in three aspects, namely, trainspeed profile optimization, utilization of regenerative energy, and integrated optimization of traintimetable and speed profile.

Keywords： urban rail transit energy saving speed profile optimization regenerative energy train timetable

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Study on train traction simulation of high speed motor train set

Kang Xiong

Strategic Study of CAE 2011, Volume 13, Issue 1, Pages 62-68

Abstract:

Train traction simulation of high speed motor train set has significantThe calculation method of train traction simulation of high speed motor train set is studied and itsdifferences with general train traction calculation and its relative key theories are provided.actual applications of Beijing—Shanghai high speed railway include: calculation of four different trainIt is concluded by applications that the method of train traction simulation of high speed motor train

Keywords： high speed motor train set traction simulation

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: Train speed trajectory optimization is a significant issue in railway traffic systems, and it plays a

Keywords： train speed trajectory optimization railway operation stochastic programming

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: core component of HST, the reliability of the traction system has a substantially influence on the traindegrees of performance degradation and cause various failures, thus threatening the running safety of the train

Keywords： high-speed train traction systems machine learning fault diagnosis

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

Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 250-261 doi: 10.1007/s42524-021-0180-2

Abstract: Coupling analysis of passenger and train flows is an important approach in evaluating and optimizingThis study proposes a passenger–train interaction simulation approach to determine the coupling relationshipbetween passenger and train flows.On the bases of time-varying origin–destination demand, train timetable, and network topology, the proposed(including but not limited to) various indicators discussed in this research to effectively support train

Keywords： urban rail transit coupling analysis passenger–train interaction large-scale simulation

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Pollution survey of carbonyl compounds in train air

LU Hao, ZHU Lizhong

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1, Pages 125-128 doi: 10.1007/s11783-007-0023-3

Abstract: The train is an important vehicle in China, but its air quality has important impacts on passengersThe carbonyl compounds in train air could be harmful to human health.

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Aerodynamic impact of train-induced wind on a moving motor-van

Jiajun HE; Huoyue XIANG; Yongle LI; Bin HAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7, Pages 909-927 doi: 10.1007/s11709-022-0833-1

Abstract: The newly-built single-level rail-cum-road bridge brings the issue of the aerodynamic impact of train-inducedan aerodynamic impact mechanism was explored; a relationship between the transverse distance between train

Keywords： rail-cum-road bridge aerodynamic impact train-induced wind CFD aerodynamic force quantitative analysis

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How to Deal with Revolutions in Train Control Systems

Hideo Nakamura

Engineering 2016, Volume 2, Issue 3, Pages 380-386 doi: 10.1016/J.ENG.2016.03.015

Abstract:

Train control systems ensure the safety of railways.This paper begins with a summary of the typical train control systems in Japan and Europe.Based on this summary, the author then raises the following question regarding current train control: What approach should be adopted in order to enhance the functionality, safety, and reliability of traincompetitiveness of a train control system.

Keywords： Train control system Railway signaling Communication-based train control system Automatic train protection

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Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 420-428 doi: 10.1007/s11465-013-0281-7

Abstract: reverberation time in their designs so as to contribute to the health and well-being of those traveling by trainThe acoustical environment of a train tunnel is complex, with a variety of noise contributing factorssuch as train announcements, speech of commuters, ventilation systems, electrical equipment and wheel

Keywords： reverberation time acoustic environment modal properties resonances

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Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 595-614 doi: 10.1007/s42524-021-0173-1

Abstract: Train speed profile optimization is an efficient approach to reducing energy consumption in urban railthat assume deterministic parameters as model inputs, this paper proposes a robust energy-efficient trainspeed profile optimization approach by considering the uncertainty of train modeling parameters.Then, a percentile reliability model is proposed to generate a robust train speed profile, by which thethe effectiveness of the model and analyze the influences of parameter uncertainties on the generated train

Keywords： robust train speed profile percentile reliability model scenario-based position–time–speed network

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The important revelation of “7·23” passenger train accident

Sun Yongfu

Strategic Study of CAE 2012, Volume 14, Issue 12, Pages 4-9

Abstract:

The process and reasons of “7·23” passenger train

Keywords： passenger train accident the research and development management the access management the emergency

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract: >A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive trainFirstly, the parameters of the DFIG and the drive train are estimated locally under different types ofcoordination estimation method is further applied to identify the parameters of the DFIG and the drive train

Keywords： wind turbine generator DFIG drive train system hierarchical parameter estimation method trajectory sensitivity