Name
Abstract | ||
|---|---|---|
The inability of airport capacity to meet the growing air traffic demand is a major cause of congestion and costly delays. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation of an airport. This paper reports on a novel method to attack this dynamic problem by integrating the concept of receding horizon control (RHC) into a genetic algorithm (GA). A mathematical model is set up for the dynamic ACM problem in a multiairport system where flights can be redirected between airports. A GA is then designed from an RHC point of view. Special attention is paid on how to choose those parameters related to the receding horizon and terminal penalty. A simulation study shows that the new RHC-based GA proposed in this paper is effective and efficient to solve the ACM problem in a dynamic multiairport environment |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TITS.2006.890067 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
dynamic problem,dynamic multiairport environment,receding horizon control rhc,terminal penalty.,dynamic environment,multiairport capacity management,airport capacity,air traffic demand,new rhc-based ga,air traffic control,airports,multiairport system,acm problem,receding horizon control,airport capacity management acm,dynamic acm problem,receding horizon,genetic algorithm ga,genetic algorithm,genetic algorithm (ga),genetic algorithms,airport capacity management,airport capacity management (acm),rhc point,terminal penalty,receding horizon control (rhc),predictive control,index terms—air traffic control,indexing terms,uncertainty,vehicle dynamics,aerodynamics,mathematical model,weather forecasting,capacity management | Simulation,Air traffic control,Model predictive control,Horizon,Capacity management,Engineering,Dynamic problem,Dynamic method,Genetic algorithm | Journal |
Volume | Issue | ISSN |
8 | 2 | 1524-9050 |
Citations | PageRank | References |
13 | 1.14 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Bing Hu | 1 | 195 | 20.87 |
| Wen-Hua Chen | 2 | 583 | 40.68 |
| E. Di Paolo | 3 | 46 | 2.77 |