Airplane scheduling module and method based on probability theory
A scheduling method and probability theory technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as flight delays, achieve the effect of reducing the degree of delay and the rate of flight delays
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Example Embodiment
[0029] Embodiment 1: The aircraft scheduling module based on probability theory described in this embodiment includes the following units:
[0030] Input unit: a that receives user input i and p(a i ), where p(a i ) indicates that the origin is M, the destination is N, and is expected to be at T 1 ~T 2 The delay time of n flights taking off in the time period is a i The probability of , i=1,2,...,m;
[0031] Average delay time calculation unit: According to E(a i )=a i ·p(a i ) is calculated as expected at T 1 ~T 2 The average delay time E (a i );
[0032] Departure time update unit: according to Calculate the updated departure times T of the n flights newj , where T j is the estimated departure time of the jth flight, j=1,2,...,n;
[0033] Scheduling unit: According to the updated departure time T new1 to T newn to schedule the n flights.
Example Embodiment
[0034] Embodiment 2: The aircraft scheduling module based on probability theory described in this embodiment includes the following units:
[0035] Data statistics unit: Statistics within the past X months, the origin is M, the destination is N, and it is expected to be in T 1 ~T 2 Delay time a of n flights departing within the time period i ;
[0036] Delay probability calculation unit: calculate delay time a i The corresponding p(a i ), where p(a i ) indicates that the origin is M, the destination is N, and is expected to be at T 1 ~T 2 The delay time of n flights taking off in the time period is a i The probability of , i=1,2,...,m;
[0037] Average delay time calculation unit: According to E(a i )=a i ·p(a i ) is calculated as expected at T 1 ~T 2 The average delay time E (a i );
[0038] Departure time update unit: according to Calculate the updated departure times T of the n flights newj , where T jis the estimated departure time of the jth flight, j=1...
Example Embodiment
[0040] Specific implementation mode three: combination figure 1 Illustrating this embodiment, the probability theory-based aircraft scheduling method described in this embodiment includes the following steps:
[0041] Input step: Receive a user input a i and p(a i ), where p(a i ) indicates that the origin is M, the destination is N, and is expected to be at T 1 ~T 2 The delay time of n flights taking off in the time period is a i The probability of , i=1,2,...,m;
[0042] Average delay time calculation steps: According to E(a i )=a i ·p(a i ) is calculated as expected at T 1 ~T 2 The average delay time E (a i );
[0043] Departure time update steps: according to Calculate the updated departure times T of the n flights newj , where T j is the estimated departure time of the jth flight, j=1,2,...,n;
[0044] Scheduling step: According to the updated departure time T new1 to T newn to schedule the n flights.
[0045] The delay of the aircraft is not only rela...
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