Abstract
Starting from the phenomenon that a large number of trains’ actual arrival &departure time deviate from specified time in train working diagram in the database ofhigh speed railway dispatching system, the paper analyzes the defects of current trainrunning time calculation method. Based on data mining theory, a section running timedeviation calculation model for high speed railway train is proposed. Then the propertiesof train section running time deviation are studied in three different cases (non-stop bothat the start and the end of section, stop at the end of section, and departure at the start ofsection) with the data from a Chinese railway bureau dispatching system, and its furtherinfluence on carrying capacity is analyzed. The results show that three deviation cases allfit Gauss distribution and the accumulative deviation time can increase the transportcapacity for more than 1 million passengers per year.
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