Robust Optimization Model for Runway Configurations Management

Zhang, Rui; Kincaid, Rex K.

doi:10.4018/ijoris.2014070101

Cited by 7 publications

(6 citation statements)

References 15 publications

(31 reference statements)

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“…Bertsimas et al [8] propose a mixed integer programming model to select the optimal sequence of runway configurations and determine the optimal balance of arrivals and departures. By considering the uncertainty factors of airport operations, a robust RCM optimization model is proposed to minimize the average delay cost [17]. Through the course of a day of operations as a function of observed congestion on the ground and in the air, and meteorological and wind conditions, Jacquillat et al [12] minimize congestion costs by jointly controlling runway configurations and arrival and departure acceptance rates.…”

Section: B Literature Reviewmentioning

confidence: 99%

Impact Analysis of Demand Management on Runway Configuration in Metroplex Airports

Yin

Tian

et al. 2020

IEEE Access

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Congestion in airports and metroplexes is increasingly becoming a key bottleneck in the global air transport system. It is largely due to inefficient utilization of runway resources and its consequences of imbalance between demand and capacity. Existing studies mainly focus on runway configuration in a single airport system, and little consideration is given to the impact of demand management on runway configuration in metroplexes. Therefore, this paper proposes a methodology and assessment framework for runway configuration with a focus on the exploitation of multiple active runways in metroplex airports. The primary innovation is an integrated runway configuration management formulation with air traffic demand management options. The first is static and dynamic runway configuration management models featuring three optimization objectives, four cases of demand-capacity imbalance, three air traffic demand management options and three assessment scenarios, for eleven priority settings. The second is an efficient multi-objective evolutionary algorithm with a mechanism of objective-guided individual selection, which can obtain close-to optimal solutions with a very low computational cost within 6 seconds. Computational experiments for the real-world case of the Shanghai metroplex airports show that, the inducing strategy of minimizing the total number of adjusted flights is the best mechanism for making satisfactory tradeoffs among multiple objectives in dynamic runway configuration. The proposed model reduces the total number of adjusted flights by an average of 36% compared with the baseline static runway configuration management. Furthermore, unlike the conventional approach of giving priority to arriving aircraft, a higher priority for departures is more effective in enhancing the performance of runway systems and reducing the number of adjusted flights. The proposed framework can be applied at pre-tactical (e.g., one-day planning) as well as tactical (e.g., several-hours rolling horizon) levels.

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Section: B Literature Reviewmentioning

confidence: 99%

Impact Analysis of Demand Management on Runway Configuration in Metroplex Airports

Yin

Tian

et al. 2020

IEEE Access

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“…Prior research has focused on the more strategic problem of optimally scheduling the reconfiguration event itself with a 90-minute or greater planning horizon. [4][5][6] Reference 7 briefly addresses the problem of scheduling individual flights given a planned reconfiguration time. However, flights are scheduled to runways assuming the reconfiguration time is known hours in advance, falling into the strategic reconfiguration category.…”

Section: Introductionmentioning

confidence: 99%

Precision Arrival Scheduling for Tactical Reconfiguration

Zelinski

2014

14th AIAA Aviation Technology, Integration, and Operations Conference

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This research adapts the concept of precision arrival scheduling to accommodate reconfiguration operations between two sets of fixed arrival routes modeled for Chicago O'Hare International Airport (ORD). Integrated fixed path routing from en-route to runways was modeled for ORD's top two peak traffic configurations, as well as transition routing between the two configurations. A first-come-first-served multi-point scheduler was adapted to the reconfiguration problem by prioritizing the rescheduling of aircraft within the terminal airspace at the time of reconfiguration notification. Arrival rescheduling was then tested for a range of arrival rates and reconfiguration notification lead-times in fasttime simulation. Reconfigurations with lead-times as short as 10 minutes at a nominal static configuration arrival rate (~25 arrivals per quarter hour) could be accommodated with little impact to throughput. However, as lead-time shortened below 25 minutes, individual aircraft efficiency quickly degraded due to extra flight time at lower altitude and speed. In general, first-come-first-served arrival scheduling on fixed routing for this sample reconfiguration problem is promising if at least 10-15 minutes lead-time is given before the reconfiguration is in effect.

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“…Earlier studies took a high-level approach to benefits, estimating aggregate benefits across most of the major airports in the National Airspace Systems (NAS), for both RCM and CADRS 2 . Other studies estimated the benefit of RCM and CADRS using various methods of re-sequencing arrivals to reduce delays 3,4 , or better balancing of arrival fixes 5,6 . Additional studies looked at different methods for performing the optimization involved in selecting the best Runway Configuration Plan (RCP) to use [7][8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Benefits Assessment for Tactical Runway Configuration Management Tool

Oseguera-Lohr

Phojanamongkolkij

Lohr

et al. 2013

2013 Aviation Technology, Integration, and Operations Conference

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The Tactical Runway Configuration Management (TRCM) software tool was developed to provide air traffic flow managers and supervisors with recommendations for airport configuration changes and runway usage. The objective for this study is to conduct a benefits assessment at Memphis (MEM), Dallas Fort-Worth (DFW) and New York's John F. Kennedy (JFK) airports using the TRCM tool. Results from simulations using the TRCM-generated runway configuration schedule are compared with results using historical schedules. For the 12 days of data used in this analysis, the transit time (arrival fix to spot on airport movement area for arrivals, or spot to departure fix for departures) for MEM departures is greater (7%) than for arrivals (3%); for JFK, there is a benefit for arrivals (9%) but not for departures (-2%); for DFW, arrivals show a slight benefit (1%), but this is offset by departures (-2%). Departure queue length benefits show fewer aircraft in queue for JFK (29%) and MEM (11%), but not for DFW (-13%). Fuel savings for surface operations at MEM are seen for both arrivals and departures. At JFK there are fuel savings for arrivals, but these are offset by increased fuel use for departures. In this study, no surface fuel benefits resulted for DFW. Results suggest that the TRCM algorithm requires modifications for complex surface traffic operations that can cause taxi delays. For all three airports, the average number of changes in flow direction (runway configuration) recommended by TRCM was many times greater than the historical data; TRCM would need to be adapted to a particular airport's needs, to limit the number of changes to acceptable levels. The results from this analysis indicate the TRCM tool can provide benefits at some high-capacity airports. The magnitude of these benefits depends on many airport-specific factors and would require adaptation of the TRCM tool; a detailed assessment is needed prior to determining suitability for a particular airport. Nomenclature

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Robust Optimization Model for Runway Configurations Management

Cited by 7 publications

References 15 publications

Impact Analysis of Demand Management on Runway Configuration in Metroplex Airports

Impact Analysis of Demand Management on Runway Configuration in Metroplex Airports

Precision Arrival Scheduling for Tactical Reconfiguration

Benefits Assessment for Tactical Runway Configuration Management Tool

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