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

The Cross-Taiwan Strait Railway (CTSR) is a significant construction, and the automatic driving of high-speed trains (HSTs) on the CTSR is a crucial technology for its operation. Before opening the CTSR, it is forward-looking to conduct theoretical research. Inspired by AlphaZero, this paper combines expert experience and Newtonian mechanics to propose a method on automatically generating massive virtual driving curves for HSTs of the CTSR. To compress the solution space from infinite to finite, we set the driving acceleration and speed limit boundary of HSTs from the perspective of expert experience. The model then combines big data technology to generate massive virtual driving curves automatically and uses statistical analysis to select high-performance ones. We found that 1) numerous virtual driving curves can be automatically generated according to different restricted speeds and line conditions, with solid adaptability; 2) the driving curves cover a specific running time and reach all running times in the range, with good ergodicity; 3) real-time tracking of the running time of each driving curve by 0.1 s, with high accuracy; 4) lots of driving curves are available on each run time for selecting curves with best performance, with good selectivity. In conclusion, this method can automatically generate virtual driving curves for HSTs on the CTSR, providing high-quality virtual data for future research on the automatic driving of HSTs on the CTSR. [ABSTRACT FROM AUTHOR]