Robust Train Scheduling Problem with Optimized Maintenance Planning on High-Speed Railway Corridors: The China Case

Zhang, Chuntian; Gao, Yuan; Li, Wenjie; Yang, Lixing; Gao, Ziyou

doi:10.1155/2018/6157192

Cited by 12 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It focuses on the maintenance planning problem and summarizes the related research publications. Recently, paper [5] proposed an integrated optimization model for simultaneous consideration of train scheduling problem and maintenance planning problem with uncertain travel time. Another survey in [6] presents a comprehensive review of the existing fault detection techniques for railway switch and crossing systems.…”

Section: Related Workmentioning

confidence: 99%

Improving the Maintenance of Railway Switches through Proactive Approach

et al. 2020

View full text Add to dashboard Cite

A strong necessity for faster mass transport with high capacities and frequent runs has put pressure on railway infrastructure. These changes require an improvement in the maintenance activities that need to be planned carefully to reduce as much as possible their impacts on the actual use of the infrastructure. As a consequence, it is crucial to continuously monitor the technical equipment of the railroad tracks in the most efficient way. Railway switches operate in harsh environmental conditions. However, their reliability requirements are high due to safety and economic factors. Their maintenance depends on the data collected and the decisions on due corrective actions. The more frequent the data collection, the shorter the decision cycle; and the more intuitive the data visualization, the better the confidence in the system. This paper presents some tangible results, where the MANTIS concepts were applied to the use-case of railway switches to introduce continuous monitoring and proactive maintenance of the railroad tracks. The presented results include the measurement method; the analysis of the measured data; the profiling and modelling of the physical behaviour of the switch, including the recognized need to have separate models per season; and the visualization of the gathered data.

show abstract

Section: Related Workmentioning

confidence: 99%

Improving the Maintenance of Railway Switches through Proactive Approach

et al. 2020

View full text Add to dashboard Cite

show abstract

“…With increasing traffic and growing demands on the infrastructure, reliability and safety of S&C must be ensured. Large demands on maintenance occur especially on high-speed tracks [2]. Generally, three different maintenance approaches can be applied-corrective, preventive, and predictive [3].…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data

Krč

Podroužek

Kratochvílová

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

This paper aims to analyse possibilities of train type identification in railway switches and crossings (S&C) based on accelerometer data by using contemporary machine learning methods such as neural networks. That is a unique approach since trains have been only identified in a straight track. Accelerometer sensors placed around the S&C structure were the source of input data for subsequent models. Data from four S&C at different locations were considered and various neural network architectures evaluated. The research indicated the feasibility to identify trains in S&C using neural networks from accelerometer data. Models trained at one location are generally transferable to another location despite differences in geometrical parameters, substructure, and direction of passing trains. Other challenges include small dataset and speed variation of the trains that must be considered for accurate identification. Results are obtained using statistical bootstrapping and are presented in a form of confusion matrices.

show abstract

“…TREP is associated with train scheduling, but obviously different. Train scheduling focuses on train preplanning with the purpose to generate an original train timetable, during which some objectives are primarily considered, such as the number of running trains [8], passenger traveling time [9], energy consumption [10], and even the flexibility of train timetable [11,12]. However, TREP is the train real-time control, during which recovering train order and guaranteeing train punctuality within limited operating time are the primary goals [13,14].…”

Section: Introductionmentioning

confidence: 99%

Discrete Optimization on Train Rescheduling on Single-Track Railway: Clustering Hierarchy and Heuristic Search

Zhang

Zhu

2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

This paper focuses on discrete dynamic optimization on train rescheduling on single-track railway with the consideration of train punctuality and station satisfaction degree. A discrete dynamic system is firstly described to mimic train rescheduling, and a state transition function is specially designed according to the train departure event. The purpose of this function is to improve simulation efficiency by directly confirming the next discrete time. After the construction and analysis of optimization models to discrete dynamic system, a two-stage heuristic search strategy is developed, by using clustering hierarchy theory and stochastic search strategy, to obtain train departure time and arrival time before each state transition of the system. Finally, a numerical experiment is conducted to verify the proposed system, models, and the heuristic search strategy. The result shows that the discrete dynamic system, together with the state transition function and heuristic search strategy, shows better performance in simulation efficiency and solution quality.

show abstract

Robust Train Scheduling Problem with Optimized Maintenance Planning on High-Speed Railway Corridors: The China Case

Cited by 12 publications

References 27 publications

Improving the Maintenance of Railway Switches through Proactive Approach

Improving the Maintenance of Railway Switches through Proactive Approach

Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data

Discrete Optimization on Train Rescheduling on Single-Track Railway: Clustering Hierarchy and Heuristic Search

Contact Info

Product

Resources

About