A5102942389- Railway Systems and Energy Efficiency
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Machine Fault Diagnosis Techniques
- Occupational Health and Safety Research
- Transportation and Mobility Innovations
- Risk and Safety Analysis
- Belt Conveyor Systems Engineering
- Aerodynamics and Fluid Dynamics Research
- Electrical Contact Performance and Analysis
- Mineral Processing and Grinding
Energy Foundation
2024
Beijing Jiaotong University
2023
Nanjing University of Science and Technology
2020
Guangzhou Metro Group (China)
2020
This paper focuses on how to minimize the total passenger travel time cost by computing and adjusting skip-sop patterns with given time-varying origin-to-destination demand matrices. A bi-objective nonlinear integer programming model linear constraints is proposed precisely formulate operating under minute-dependent from different origin–destination pairs. The implemented using genetic algorithm idea point optimization solvers, we show its effectiveness real world instance of Guangzhou Metro Line 8.
As the core component of traction drive system high-speed trains, working condition motor is directly related to operational safety train. During train operation, temperature signal constantly changing. Accurate prediction using real-time data generated by sensors at end beneficial for early detection abnormal conditions. The traditional approach apply models from offline learning onboard side prediction, but its accuracy degrades with online distribution changed. Therefore, this article...
Addressing the challenges of current scraper conveyor health assessments being influenced by expert knowledge and relative difficulty in establishing degradation models for equipment, this study proposed a method assessing status conveyors based on one-dimensional convolutional neural networks (1DCNN). The approach utilizes four preprocessed monitoring signals representing different states as input sources. Through multiple transformations data using constructed network model, it extracts...
Nowadays, an express/local mode has be studied and applied in the operation of urban rail transit, it been proved to beneficial for long-distance travel. The optimization train patterns timetables is vital application mode. former one widely discussed various existing works, while study on timetable limited. In this study, a model proposed by minimizing total passenger waiting time at platforms. Further, genetic algorithm used solve minimization problems model. This uses data collected from...
The analysis and prediction of the risks causes railway freight accidents can help to formulate accident prevention measures, thereby ensuring safety operations. In order achieve evolution results reduce probability from source, this paper proposes a method for based on K2 scoring algorithm graph convolutional neural network (GCN) model. First, data Federal Railroad Administration (FRA) railroad equipment database, classifies into five major categories perspectives human, machine,...
It is a new way to deal with unbalanced distribution of passenger flow adopt the stop-skip scheme. Firstly, this study regards saving passengers' travel costs and operating expenses as targets, proposes bi-objective nonlinear mixed integer programming model one 0-1 decision variable, which evaluates under different schemes. Using genetic algorithm ideal point method, find optimal scheme given flow. Secondly, takes direction Fenghuangxincun—Wanshengwei on Guangzhou Metro Line 8 case for...