Hybrid Particle Swarm Optimization with Parameter Fixing: Application to Automatic Taxi Management

Sirigu, Giuseppe; Clarke, John‐Paul; Battipede, Manuela; Gili, Piero

doi:10.2514/1.d0172

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…The three major aviation environmental impacts are climate impact, noise pollution, and air quality [28]. Noise pollution and air quality are generally addressed during initial and terminal phases of flight, as well as in the ground phases, where the aircraft is closer to highly populated areas [29,30]. Climate impact, defined as the sum of CO 2 and non-CO 2 net warming effect produced by the aircraft along the trajectory, is mainly addressed during cruise phase.…”

Section: Climate Mitigation-oriented Flight Planningmentioning

confidence: 99%

Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning

2021

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Aviation contribution to global warming and anthropogenic climate change is increasing every year. To reverse this trend, it is crucial to identify greener alternatives to current aviation technologies and paradigms. Research in aircraft operations can provide a swift response to new environmental requirements, being easier to exploit on current fleets. This paper presents the development of a multi-objective and multi-phase 4D trajectory optimization tool to be integrated within a Flight Management System of a commercial aircraft capable of performing 4D trajectory tracking in a Free Route Airspace context. The optimization algorithm is based on a Chebyshev pseudospectral method, adapted to perform a multi-objective optimization with the two objectives being the Direct Operating Cost and the climate cost of a climb-cruise-descent trajectory. The climate cost function applies the Global Warming Potential metric to derive a comprehensive cost index that includes the climate forcing produced by CO2 and non-CO2 emissions, and by the formation of aircraft-induced clouds. The output of the optimization tool is a set of Pareto-optimal 4D trajectories among which the aircraft operator can choose the best solution that satisfies both its economic and environmental goals.

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Section: Climate Mitigation-oriented Flight Planningmentioning

confidence: 99%

Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning

2021

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Integrated optimization of scheduling for unmanned follow-me cars on airport surface

Yuan,

Zhu,

Zou

et al. 2024

Sci Rep

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To promote the application of automated vehicles in large airports, in this study, we present an integrated optimization method for scheduling Unmanned follow-me cars. The scheduling process is divided into three phases: Dispatch, Guidance, and Recycle. For the Dispatch phase, we establish a vehicle assignment model, to allocate the vehicle resource equitably. For the Guidance phase, we offer an quantitative way, to measure the spacing between Unmanned follow-me car and aircraft. To optimize the efficiency of airport operation in the three phases and ensure safety, the collaborative planning model, and the conflict prediction model are established. An improved grey wolf optimization algorithm is adopted to enhance the convergence speed and generalization performance. A case study at Ezhou Huahu Airport in China demonstrates the effectiveness of the methods. The results show that the model of collaborative planning can make the balance of path selection, Unmanned follow-me car’s working time, and departure sequence. The convergence speed of the improved algorithm has been increased by 18.75%. The inequity index of vehicle assignment is only 0.015731, and the spatiotemporal distribution of conflicts is influenced by the airport’s surface layout.

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Hybrid Particle Swarm Optimization with Parameter Fixing: Application to Automatic Taxi Management

Cited by 2 publications

References 34 publications

Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning

Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning

Integrated optimization of scheduling for unmanned follow-me cars on airport surface

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