Optimization model of ground-holding problem in airport flow management

The stochastic features of arrival capacity and arrival demand for target airport were analyzed.The minimum total flight delay cost was taken as objective function, the principle of first come first service, the limits of airport arrival capacity and the relation between groundholding and air-delay were considered as constraint conditions, and the mathematical programming model and event-driven model of grounding-holding problem in airport flow management were built.The basic genetic algorithm was designed to solve the models, the concrete arrival times after optimization were calculated.Calculation result shows that the bigger the ratio of unit air-delay cost to unit ground-holding cost is, the more easily the air-delay turns to ground-holding.When the ratio of unit air-delay cost to unit ground-holding cost is 3∶1, the total delay costs reduce by 50% after optimization.When the ratio of unit air-delay cost to unit ground-holding cost is 1∶1, the time ratio of air-delay to ground-holding is about 1.058.When the ratio of unit air-delay cost to unit ground-holding cost is 6∶1, the time ratio of air-delay to ground-holding is about 4.77%.After optimization, the flight arrival distribution is more statuesque, and the optimized result is more accurate.