A revenue-maximizing fare allocation method based on passenger demand re-identification
A distribution method and re-identification technology, applied in the direction of kernel method, character and pattern recognition, data processing application, etc., can solve the problem that passengers cannot reflect the potential ticket purchase demand, and achieve the effect of increasing income
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[0080] A revenue-maximizing ticket allocation method based on passenger demand re-identification presented in this example is based on the passenger's potential ticket demand data for ticket allocation.
[0081] 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-class 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 is ...
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