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    مؤتمر

    المساهمون: ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien (MAIAA), Ecole Nationale de l'Aviation Civile (ENAC), Nanjing University of Aeronautics and Astronautics Nanjing (NUAA), ENRI

    المصدر: EIWAC 2015, 4th ENRI International Workshop on ATM/CNS ; https://enac.hal.science/hal-01217413Test ; EIWAC 2015, 4th ENRI International Workshop on ATM/CNS, ENRI, Nov 2015, Tokyo, Japan

    جغرافية الموضوع: Tokyo, Japan

    الوصف: International audience ; This paper reports on the research status of automated merging 4D trajectories for multi-parallel runwaysoperations in complex terminal area. In order to simultaneously reduce delay and increase capacity in metropolis airportwith multi-parallel runways, based on the classic Point-Merge route structure, a novel Multiple-Points-Merge (M-PM)route system is firstly proposed. It consists of multi-layers on the sequencing legs for dierent categories of aircraftwith H,Mand L, and a M-PM system for Beijing Capital international airport is built with lazy “8” topology. After that,a multiple-objectives function is discussed for this aircraft scheduling problem, operational constraints are analyzed indetail, a modelling strategy with sliding time window and simulated annealing algorithm is proposed for solving thisreal-time scheduling and sequencing landing problem. According to the relationship between aircraft entry time andthe position of sliding time window, all arrival aircraft are firstly classified into 4 dierent status: planned, ongoing,active, and completed, and then in the sliding time window the aircraft with active or ongoing status are optimized withre-sequence and conflict detection and resolution (CD&R) process. Conflict detection (CD) is based on pairwise formto detect separation infringement between aircraft. There are two types of conflict, catching up conflict and convergingconflict. Conflict resolution (CR) solve the detected horizontal conflict with speed adjustment, slot time control, andturning time control technique. In a future work, this novel M-PM system will be evaluated with real operational data.

  2. 2
    دورية أكاديمية

    المؤلفون: Lin, Jie1 (AUTHOR), Xiao, Hao1 (AUTHOR) xh_26@126.com, Chai, Jian1,2 (AUTHOR) chaijian0376@126.com

    المصدر: Energy Economics. Aug2023, Vol. 124, pN.PAG-N.PAG. 1p.

    مصطلحات جغرافية: JAPAN, CHINA

    مستخلص: Interest in oil price shocks' economic effects has grown in recent years. However, previous studies mostly failed to clarify the dynamic transmissions of oil price shocks on representative economies from global and driver perspectives, even ignoring oil price fluctuations when linking oil prices and economy together. This paper examines the dynamic relationships and driving intermediations between multiple oil price shocks and macroeconomy by applying Bayesian vector autoregressive models with stochastic volatility and time-varying parameters, using the USA, China, the Euro-19, and Japan as research objects. Results show that, in the whole sample, all oil prices have the strongest effects on Japan, followed by China, Euro-19, and the USA, with possible directional differences. All oil prices' economic effects intensified during the crisis and Covid-19, accompanying significant oil price fluctuations. Regarding asymmetry, in the whole sample and critical times, stronger effects of rising oil prices show in the short term, but opposite in the long term. Consumer price, interest rate, and exchange rate are the general intermediations of oil prices in China and the USA, Euro-19, and Japan, respectively, and exchange rate is the additional intermediation in China, Euro-19, and Japan during the crisis and Covid-19. Overall, the results are solid. • Time-varying effects of oil price shocks on four global major economies were analyzed. • Dominant driving intermediations of oil price shocks on economies were explored. • Dynamic oil price shock fluctuations were considered in the analysis. • Oil prices' economic effects and swings intensified during the crisis and Covid-19. • Oil prices' asymmetric effects relate to the durations of oil price behavior. [ABSTRACT FROM AUTHOR]

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