Airline Slot Allocation Optimization Decision Under CDM Mechanism

2021 ◽  
pp. 966-970
Author(s):  
Wenya Xiao ◽  
Jinghua Zhao
Keyword(s):  
Slot Allocation

Hierarchical Time-Slot Allocation for Dynamic Bandwidth Control in Optical Layer-2 Switch Network

2014 ◽  
Vol E97.B (7) ◽  
pp. 1303-1312 ◽  
Author(s):  
Masahiro NAKAGAWA ◽  
Kyota HATTORI ◽  
Naoki KIMISHIMA ◽  
Masaru KATAYAMA ◽  
Akira MISAWA
Keyword(s):  
Time Slot ◽  
Slot Allocation ◽  
Layer 2 ◽  
Bandwidth Control ◽  
Optical Layer ◽  
Time Slot Allocation ◽  
Dynamic Bandwidth

Dynamic capacity and variable runway configurations in airport slot allocation

2021 ◽  
pp. 107480
Author(s):  
W.L. Cheung ◽  
R. Piplan ◽  
S. Alam ◽  
L. Bernard-Peyre
Keyword(s):  
Slot Allocation ◽  
Dynamic Capacity

Improving slot allocation at Level 3 airports

2019 ◽  
Vol 127 ◽  
pp. 32-54
Author(s):  
Nuno Antunes Ribeiro ◽  
Alexandre Jacquillat ◽  
António Pais Antunes ◽  
Amedeo Odoni
Keyword(s):  
Slot Allocation ◽  
Level 3

The time slot allocation problem under uncertain capacity

2014 ◽  
Vol 46 ◽  
pp. 16-29 ◽  
Author(s):  
Luca Corolli ◽  
Guglielmo Lulli ◽  
Lewis Ntaimo
Keyword(s):  
Time Slot ◽  
Allocation Problem ◽  
Slot Allocation ◽  
Time Slot Allocation

scholarly journals Multiobjective Optimization Model for Collaborative En-Route and Slot Allocation

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Shangwen Yang ◽  
Jingting Zhang ◽  
Ping Chen ◽  
Yongjie Yan
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Programming Model ◽  
Numerical Test ◽  
Simulated Data ◽  
Slot Allocation ◽  
Collaborative Decision Making ◽  
Average Delay ◽  
Flight Delay ◽  
Collaborative Decision

To allocate the en-routes and slots resource to the flights with collaborative decision-making, a multiobjective 0-1 integer programming model was proposed. According to different demands from air traffic control departments, airlines, and passengers, efficiency, equity, and effectiveness principles of collaborative decision-making were considered. With the aim to minimize the total flight delay costs, the total number of turning points, and average delay time of passengers, the effectiveness constraints were achieved. The algorithm was designed to solve the model on the basis of the objective method, and Lingo11 and MatlabR2007b were applied in numerical tests. To test how well the model works in real world, a numerical test was performed based on the simulated data of a civil en-route. Test results show that, compared with the traditional strategy of first come first served, the model gains better effect. The superiority of the model was verified.

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