Method for collaborative and optimal allocation of route time slot and flight level

A method for collaborative and optimal allocation of a route time slot and a flight level, comprising the following steps of:

• step 1:
• acquiring planned route information and alternative route information in a traffic limited airspace, acquiring available time slot information of a downstream airspace unit of the planned route and acquiring flight operation information through an information platform for collaborative management of airspace and flow;
• wherein comprises a route flight level configuration and a route length, the route flight level configuration comprises a number of flight levels configured in each route and a capacity of each flight level;
• and the flight operation information comprises a flight plan, a ground delay cost, an aircraft type, fuel consumptions of different flight levels and a number of passengers;
• step 2:
• formulating an algorithm for the collaborative and optimal allocation of the route time slot and the flight level by using the information platform for collaborative management of airspace and flow;
• wherein comprises:
• step 2.1:
• establishing an objective function by taking a minimum total ground delay loss of all flights as an objective;
• step 2.2:
• establishing an objective function by taking a minimum change number of flight levels of all flights as an objective;
• step 2.3:
• establishing an objective function by taking a minimum total fuel consumption of all flights as an objective;
• and
• step 2.4:
• establishing a constraint condition meeting effectiveness;
• in the step 2.1 of taking the minimum total ground delay loss of all flights as the objective, the ground delay loss of a single flight comprises a cost of ground delay executed by the flight and a delay loss of passengers carried by the flight, and the established objective function is:
• min
• ⁢
• ∑
• i
• =
• 1
• I
• ∑
• J
• j
• =
• 1
• ∑
• k
• =
• 1
• K
• ∑
• u
• k
• =
• 1
• U
• k
• (
• c
• i
• g
• +
• c
• i
• p
• ⁢
• n
• i
• )
• ⁢
• (
• t
• j
• -
• e
• ⁢
• t
• ⁢
• a
• i
• )
• ⁢
• x
• ij
• ku
• ,
• wherein cig denotes a unit time cost of the ground delay executed by the flight i, 1≤i≤I, and I is a total number of flights, cip denotes a unit time delay loss of passengers carried by the flight i, ni is a number of passengers carried by the flight i, tj is a start time of a time slot j, 1≤j≤J, J is a total number of time slots, etai denotes a planned arrival time of the flight i to a downstream airspace unit, 1≤k≤K, K is a number of optional routes, the optional routes comprise the planned route and the alternative route, uk denotes a ukth flight level of a route k, 1≤uk≤Uk, Uk is a number of flight levels of the route k, and xijku is a decision variable, which is expressed as:
• x
• ij
• ku
• =
• {
• 1
• ,
• the
• ⁢
• flight
• ⁢
• i
• ⁢
• is
• ⁢
• allocated
• ⁢
• to
• ⁢
• the
• ⁢
• time
• ⁢
• slot
• ⁢
• j
• ⁢
• and
• ⁢
• the
• ⁢
• u
• k
• th
• ⁢
• flight
• ⁢
• level
• ⁢
• of
• ⁢
• the
• ⁢
• route
• ⁢
• k
• ⁢
• is
• ⁢
• selected
• 0
• ,
• otherwise
• .
• step 3:
• establishing a multi-objective optimization model for the collaborative allocation of the route time slot and the flight level according to the algorithm for the collaborative and optimal allocation of the route time slot and the flight level;
• step 4:
• solving the multi-objective optimization model established in the step 3 to obtain a non-inferior solution set, and forming a strategy set for the collaborative and optimal allocation of the route time slot and the flight level;
• step 5:
• issuing the strategy for the collaborative and optimal allocation of the route time slot and the flight level to carry out multi-objective optimal allocation through the information platform for collaborative management of airspace and flow established in the step 1;
• and
• step 6:
• reallocating flights in a period of time based on the collaborative and optimal allocation of the route time slot and the flight level to carry out multi-objective optimal allocation.