Method on generating massive virtual driving curves for high-speed trains of the Cross-Taiwan Strait Railway and its statistical analysis

Zheng, Xiaoyu; Chen, Dewang; Lin, Zhiming; Zhuang, Liping; Zhao, Wendi

doi:10.1007/s11227-023-05621-5

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…In order to highlight the performance of virtual data generation methods in improving data quantity and diversity, the results were compared with existing methods [29,30]. The proposed method has achieved significant breakthroughs in speed limitations and road segment diversity, with an average increase of 39% in the number of virtual data.…”

Section: Screening Optimisation Analysis Summarymentioning

confidence: 99%

Rapid Algorithm for Generating and Selecting Optimal Metro Train Speed Curves Based on Alpha Zero and Expert Experience

CHEN,

WU,

et al. 2024

PROMTT

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According to the current research status of urban rail transit’s fully automatic operation (FAO), the train driving speed curves are usually obtained through simulation and calculation. The train driving speed curves obtained by this method not only have low efficiency but also are not suitable for complex road conditions. Inspired by AlphaZero, a reinforcement learning algorithm that utilised vast amounts of artificial data to defeat AlphaGo, an AI Go program, this paper investigates and analyses methods for rapidly generating a large number of speed curves and selecting those with superior performance for train operation. Firstly, we use the powerful third-party library in Python as the basis, combined with the idea of AlphaZero, to produce artificial speed curves for metro train driving. Secondly, we set relevant parameters with reference to expert experience to quickly produce massive reasonable artificial speed curves. Thirdly, we analysed relevant indicators such as energy consumption, running time error and passenger comfort to select some speed curves with better comprehensive performance. Finally, through the many observations with different running distances and different speed limits, we found that the speed curves produced and selected by our algorithm are more productive, diverse and conducive to the research of train driving operation than the actual data from traditional manual driving and ATO (automatic train operation) system.

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Section: Screening Optimisation Analysis Summarymentioning

confidence: 99%

Rapid Algorithm for Generating and Selecting Optimal Metro Train Speed Curves Based on Alpha Zero and Expert Experience

CHEN,

WU,

et al. 2024

PROMTT

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Development of a Methodological Approach for the Design of Train Speed Trajectory Diagrams for the Suburban Railways—Application on the Greek Railway Line Athens–Chalkida

Koffas,

Moschovou,

Liberis

2024

Eng

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Rail traction and resistance play an essential role in the efficient operation of rail systems. The nature of traction is based on the balance between static friction and generated force at the perimeter of the driving wheels. The main objective of this paper is the development of a methodology and a modeling procedure for the design of train speed trajectory diagrams for the suburban railway. The model is applied to the Athens–Chalkida railway line (in Greece). For this purpose, geometric data for the above-mentioned railway line is collected from the Hellenic Railways Organization (OSE) and then recorded and digitized. A code is developed in MATLAB to calculate the total resistance of the railway line at each kilometer position. The traction elements of the trains operating on the Athens–Chalkida–Athens line, as well as other representative trains, and the magnitudes of their mechanical-aerodynamic resistances are recorded. The MATLAB program generates and compiles the train speed trajectory diagrams and the traction-resistance matrices. Finally, a comparison is made between the time, energy, CO2 emissions, and fuel costs of the rail in relation to the competing mode of transportation, which, for the specific line studied, is the tourist bus.

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Method on generating massive virtual driving curves for high-speed trains of the Cross-Taiwan Strait Railway and its statistical analysis

Cited by 2 publications

References 35 publications

Rapid Algorithm for Generating and Selecting Optimal Metro Train Speed Curves Based on Alpha Zero and Expert Experience

Rapid Algorithm for Generating and Selecting Optimal Metro Train Speed Curves Based on Alpha Zero and Expert Experience

Development of a Methodological Approach for the Design of Train Speed Trajectory Diagrams for the Suburban Railways—Application on the Greek Railway Line Athens–Chalkida

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