Research Article

Optimisation of Airline Dynamic Multileg Capacity Control Problem considering Competition from High-Speed Rail

Table 4

Notations used in this model.

NotationDescriptionType

IAlternative set, , represents A1, represents A2, represents HSet, parameter
JSubmarket set, Set, parameter
KODIF set, , belongs to A1, belongs to A2, belongs to HSet, parameter
TSelling horizonScalar, parameter
Fare of alternative i in submarket jScalar, parameter
Total travelling time of alternative i in submarket jScalar, parameter
Elasticities of fare in submarket jScalar, parameter
Elasticities of time in submarket jScalar, parameter
Overall evaluation or satisfaction to alternative iScalar, parameter
DTotal demand of the transportation networkScalar, parameter
Share of submarket jScalar, variable
Probability that one customer arrives in submarket j in time period tScalar, variable
Total expectation of customer arrives in submarket j in time period tScalar, variable
Predicted aggregate demand of ODIF k from time period t to TScalar, variable
Customer’s actual arrival time in submarket jScalar, variable
Actual arrival time setSet, variable
Valid actual arrival time setSet, variable
Set of arrival occurred in time period tSet, variable
Actual arrival of ODIF k in time period tScalar, variable
Amount of actual arrival in submarket jScalar, variable
Minimum allocation percentage of HSRScalar, parameter
Resource occupation matrixMatrix, constant
Resource capacity vector in time period tVector, variable
Value function when remaining capacity is in time period tScalar, objective function
Partitioned allocation of each product in time period tVector, decision variable
Displacement cost when remaining capacity is in time period tVector, variable
Bid price of product k in time period tScalar, variable
Indicator of whether the nth booking request for product k is accepted or refused in time period t0–1 variable
Total number of accepted booking requests for product k in time period tScalar, variable
Total number of refused booking requests for product k in time period tScalar, variable
Transfer-out matrixMatrix, constant
Transfer-in matrix in time period tMatrix, variable
The number of available transfer destination matrix in time period tMatrix, variable
Transfer destination (to which alternative) matrix in time period tMatrix, variable