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A two-dimensional clustering method for highspeed railway trains in China based on train characteristics and operational performance
2020
IEEE Access
At present, China has the world's longest high-speed railway (HSR) network, but most trains do not have clear market positioning and hierarchical standard. The current train hierarchies and adjustment is empirically set by HSR organisers. This paper applies a clustering method and cross-over analysis to study the classification of China's HSR trains and provides scientific operation suggestions. By adopting the timetable data and ticket booking data of Shanghai-Nanjing intercity railway, we
doi:10.1109/access.2020.2991638
fatcat:bfj7sdptyzfcrj6ak7xc54l5uy