A two-stage taxi scheduling strategy at airports with multiple independent runways

Multi-Objective Route Planning for Aircraft Taxiing Under Different Traffic Conflict Types

“…However, none of these studies have discussed the differences in aircraft taxiing time caused by different conflict types. With respect to single-objective surface route planning algorithms of aircraft, studies proposed genetic algorithm [29], shortest route algorithm [30], particle swarm optimization algorithm [31], and A* algorithm [32].…”

Stochastic scheduling of ground movement problem integrated with taxiway routing and gate/stand allocation

“…(2) gate/stand shadow constraints which address that, some gates/stands can only be assigned to some particular aircraft type (such as some gates/stands can only be assigned to single-aisle aircraft (A320/B737) but not to double-aisle aircraft (A330/B777)); (3) gate/stand priority constraints, which require the priority of use for some gate/stand by different airline companies. In the following, we give the three kinds of constraints separately in ( 9)- (11).…”

“…Under small airport throughput case, this conventional scheme can efficiently make a trade-off between the security and efficiency of the airport ground movement. Much of research along this vein has separately focused on analyzing and designing TR [7,[9][10][11] and G/SA [8,[12][13][14][15][16][17][18][19] based on the above scheme.…”

“…Thus, it is important to quantify the uncertainty of the arrival time in GMP, especially its translated operational impact on the integrated scheduling of TR and G/SA. However, most of the existing models for TR or G/SA problem [9][10][11][12][13][14][15] only address deterministic arrival time assumption without considering its uncertainty. Some recent works [22][23][24][25][26] have started to introduce the concept of 'delay time of flight's arrival' as a stochastic issue; in [22], the authors analyzed the impact of arrival time uncertainty on pushback time assignment, but without considering its impact on TR; in [23], the authors addressed arrival time uncertainty into integrated airport surface operations with aircraft routing and flight scheduling, while not presenting in detail the modelling for taxiways, gates/stands and aircraft performance; in [24], the authors analyzed the characteristics of gate delays and modelled gate delays using a probability distribution of stochastic arrival time, but without considering its stochastic impact on TR; in [25,26], the authors present a stochastic model for airport GMP with taxi time uncertainties, while not fully considering the aircraft's taxiing performance limits (such as variable taxiing speed) and not demonstrating the stochastic impact on GMP under an integrated architecture for TR and G/SA.…”

Throughput reduction on an air-ground transport system by the simultaneous effect of multiple traveling routes equipped with parking sites

“…Nevertheless, little studies have reported on the simulations using cellular automata [1,2], which are expected to become promising approaches since the cellular automata have solved a variety of similar systems in pedestrian dynamics [3,4,5,6,7,8,9] and automobile transport systems [10,4,11,12] for years. In comparisons with a lot of the previous analytical studies using the optimization and scheduling algorithms [13,14,15,16,17], the cellular automata models have the advantage of the easiness to examine the effect of the geometry of the targeting airports.…”