A long-distance priority fare allocation method based on passenger demand re-identification
A long-distance, re-identification technology, applied in data processing applications, instruments, calculations, etc., can solve the problem that passengers cannot reflect potential ticket purchase needs
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[0071] A long-distance priority ticket allocation method based on passenger demand re-identification given in this example is based on the passenger's potential ticket purchase demand data for ticket allocation.
[0072] The data involved in this example comes from the train numbered D2818 (i.e. the target train), which serves 18 stations, but the data used in this example only involves 12 stations; in addition, this example only considers that the train seat level is The case of first and second class seats. Therefore, use c to represent the grade number of the target train seat, and c∈{1, 2}; use i to represent the starting station number of different OD intervals, and j to represent the terminal station number of different OD intervals; use matrix Describe the number of remaining tickets for the c-level train seats of the target train running in the OD interval (i, j); use Indicates the number of tickets purchased by passengers whose origin station is i, terminal station...
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