Multi-Objective Takeoff Time Optimization Using Cellular Automaton-Based Simulator

Although schedule design has further potential to reduce airline operation costs and flight delay, the effectiveness of globally optimal integrating air traffic flow not been discussed thus far. This paper presents a global multi-objective takeoff time optimization efficient schedules that lead minimal congestion provide sufficient resilience against problems. NSGA-II is adopted as technique in this study. The objective functions include minimization total arrival delay fuel consumption because these are key performance indicators management (ATM). variable used study offset each landing at Tokyo International Airport. 607 variables were range was ±300 s investigate effect minor variation time. A cellular automaton-based model utilized simulate interaction flights with other. results simulations demonstrated obtained solutions could drastically by 1500 min 80 tons, respectively. spacing adjustments one optimum schedules, comparison original schedule, reduced 80% en-route terminal airspaces. Additional analyses suggest it preferable have longer intervals for originating from same point during hours than those non-congestion hours. indicates ground movements airports improves efficiency operations.