TY - GEN
T1 - Tactical contracts re-planning in 4D air-traffic control
AU - Gekht, Daphna
AU - Idan, Moshe
PY - 2013
Y1 - 2013
N2 - Continuous growth in the air traffic density, mainly over Europe and the U.S., introduces a need for new concepts in air-traffic control. One of such new concepts involves air-traffic management using four dimensional (4D) contracts. According to this approach, all the air traffic is pre-planned and optimized in advance in four dimensions: 3D location and time. Before take-off each aircraft is given a flyable conflict-free flight plan, called 4D contract, which it is responsible to comply with. Whether, for any reason, the aircraft can not respect its prescribed 4D contract, a new 4D contract should be re-computed for it in a matter of minutes. The paper introduces an algorithm for re-planning of the 4D contracts within the mentioned time limitations. The update task is treated as an optimization problem minimizing the influence of the contract change on the surrounding traffic. To increase the efficiency of the algorithm, only the neighboring traffic is considered during the re-planning process. The lists of neighbors for each aircraft are computed in advance and stored for efficient re-planning. Numerical examples are used to demonstrate the performance of the proposed algorithm.
AB - Continuous growth in the air traffic density, mainly over Europe and the U.S., introduces a need for new concepts in air-traffic control. One of such new concepts involves air-traffic management using four dimensional (4D) contracts. According to this approach, all the air traffic is pre-planned and optimized in advance in four dimensions: 3D location and time. Before take-off each aircraft is given a flyable conflict-free flight plan, called 4D contract, which it is responsible to comply with. Whether, for any reason, the aircraft can not respect its prescribed 4D contract, a new 4D contract should be re-computed for it in a matter of minutes. The paper introduces an algorithm for re-planning of the 4D contracts within the mentioned time limitations. The update task is treated as an optimization problem minimizing the influence of the contract change on the surrounding traffic. To increase the efficiency of the algorithm, only the neighboring traffic is considered during the re-planning process. The lists of neighbors for each aircraft are computed in advance and stored for efficient re-planning. Numerical examples are used to demonstrate the performance of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84881604962&partnerID=8YFLogxK
M3 - منشور من مؤتمر
SN - 9781627481144
T3 - 53rd Israel Annual Conference on Aerospace Sciences 2013
SP - 1144
EP - 1170
BT - 53rd Israel Annual Conference on Aerospace Sciences 2013
T2 - 53rd Israel Annual Conference on Aerospace Sciences 2013
Y2 - 6 March 2013 through 7 March 2013
ER -