Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
857065 | Procedia Engineering | 2015 | 9 Pages |
For solving the contradiction between the sharp increase of demand and relatively decrease of supply, multi-airports terminal area structure and the traffic flow equivalent relation of runway arrival and departure, fix, sector and intersection of air routes are analyzed, the MOIPSO model for collaborative capability-flow allocation in Multi-airports terminal area is built with IPSO. Based on the multi restrict of airspace capacity, multi-objective optimization allocation is set down to minimize the cost and time of delay, and fair loss deviation factor of airline companies. The simulation experiment attests to the capability of collaborative capability-flow allocation optimization, improvement on veracity, efficiency, cost economy and reliability. The model supports intelligent collaborative capability-flow allocation