دانلود مقاله ISI انگلیسی شماره 103294
ترجمه فارسی عنوان مقاله

توالی و ادغام یکپارچه هواپیما به باند موازی با حل منازعات خودکار و قابلیت های پیشرفته ای در زمینه آویونیک

عنوان انگلیسی
Integrated sequencing and merging aircraft to parallel runways with automated conflict resolution and advanced avionics capabilities
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
103294 2017 24 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Transportation Research Part C: Emerging Technologies, Volume 85, December 2017, Pages 268-291

ترجمه کلمات کلیدی
مدیریت ترافیک هوایی، مسیریابی مبتنی بر عمل، ادغام و توالی، باند موازی چندگانه،
کلمات کلیدی انگلیسی
Air traffic management; Trajectory based operation; Merging and sequencing; Multiple parallel runway;
پیش نمایش مقاله
پیش نمایش مقاله  توالی و ادغام یکپارچه هواپیما به باند موازی با حل منازعات خودکار و قابلیت های پیشرفته ای در زمینه آویونیک

چکیده انگلیسی

Congestion in Terminal Maneuvering Area (TMA) in hub airports is the main problem in Chinese air transportation. In this paper we propose a new system to integrated sequence and merge aircraft to parallel runways at Beijing Capital International Airport (BCIA). This system is based on the advanced avionics capabilities. Our methodology integrates a Multi-Level Point Merge (ML-PM) system, an economical descent approaches procedure, and a tailored heuristic algorithm to find a good, systematic, operationally-acceptable solution. First, Receding Horizontal Control (RHC) technique is applied to divide the entire 24 h of traffic into several sub-problems. Then in each sub-problem, it is optimized on given objectives (conflict, deviation from Estimated Time of Arrival (ETA) on the runway and makespan of the arrival flow). Four decision variables are designed to control the trajectory: the entry time, the entry speed, the turning time on the sequencing leg, and the landing runway allocation. Based on these variables, the real time trajectories are generated by the simulation module. Simulated Annealing (SA) algorithm is used to search the best solution for aircraft to execute. Finally, the conflict-free, least-delay, and user-preferred trajectories from the entry point of TMA to the landing runway are defined. Numerical results show that our optimization system has very stable de-conflict performance to handle continuously dense arrivals in transition airspace. It can also provide the decision support to assist flow controllers to handle the asymmetric arrival flows on different runways with less fuel consumption, and to assist tactical controllers to easily re-sequence aircraft with more relaxed position shifting. Moreover, our system can provide the fuel consumption prediction, and runway assignment information to assist airport and airlines managers for optimal decision making. Theoretically, it realizes an automated, cooperative and green control of routine arrival flows. Although the methodology defined here is applied to the airport BCIA, it could also be applied to other airports in the world.