TY - GEN
T1 - Developing a multi-objective sequencing model for aircraft arrival scheduling
T2 - 24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
AU - Jirathammawat, Natthawut
AU - Jansuwan, Sarawut
AU - Chen, Anthony
PY - 2010/1/1
Y1 - 2010/1/1
N2 - Current air traffic control (ATC) procedures sequence aircraft arrivals in the First Come First Serve (FCFS) order which is more suitable for low traffic intensity aerodrome. For higher traffic intensity aerodrome, the FCFS method could be inefficient since it requires a longer horizontal minimum separation between two following aircrafts. This research has developed a mathematical model, based on a well-known open loop traveling salesman problem (OTSP), for sequencing the aircraft arrivals into the final approach area. In our study, the aircrafts are categorized into 3 maximum take-off weights, e.g., heavy (H), medium (M) and light (L), that are used for considering the minimum aircraft separation distance both in the aerodrome and on the runway after aircrafts’ landing. The multi-objective programming using 1) maximizing runway capacity, 2) minimizing total delay in landing time, and 3) minimizing excess air pollution caused by aircraft emission has been developed. The weighting sum method for the multiple objectives is used to differentiate the importance of objectives and the ATC’s control policy. The case study adopts aircraft arrival data from the Suvarnabhumi Airport, Bangkok, Thailand to demonstrate the capability of the model. The simulated weights for three objectives altered from the airport’s operation and policy are tested and analyzed. The results indicate our proposed model outperforms the current control systems in all performances including capacity, delay, and emission.
AB - Current air traffic control (ATC) procedures sequence aircraft arrivals in the First Come First Serve (FCFS) order which is more suitable for low traffic intensity aerodrome. For higher traffic intensity aerodrome, the FCFS method could be inefficient since it requires a longer horizontal minimum separation between two following aircrafts. This research has developed a mathematical model, based on a well-known open loop traveling salesman problem (OTSP), for sequencing the aircraft arrivals into the final approach area. In our study, the aircrafts are categorized into 3 maximum take-off weights, e.g., heavy (H), medium (M) and light (L), that are used for considering the minimum aircraft separation distance both in the aerodrome and on the runway after aircrafts’ landing. The multi-objective programming using 1) maximizing runway capacity, 2) minimizing total delay in landing time, and 3) minimizing excess air pollution caused by aircraft emission has been developed. The weighting sum method for the multiple objectives is used to differentiate the importance of objectives and the ATC’s control policy. The case study adopts aircraft arrival data from the Suvarnabhumi Airport, Bangkok, Thailand to demonstrate the capability of the model. The simulated weights for three objectives altered from the airport’s operation and policy are tested and analyzed. The results indicate our proposed model outperforms the current control systems in all performances including capacity, delay, and emission.
KW - Aircraft Sequencing
KW - Airport Emission
KW - Airport Runway Capacity
KW - Multi-objective
KW - Open Loop Travelling Salesman Problem (OTSP)
UR - http://www.scopus.com/inward/record.url?scp=85083881222&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85083881222
T3 - Proceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities
SP - 11
EP - 18
BT - Proceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
A2 - Chow, Andy H.F.
A2 - Lo, S.M.
A2 - Li, Lishuai
PB - Hong Kong Society for Transportation Studies Limited
Y2 - 14 December 2019 through 16 December 2019
ER -