Allocating efficient routes to taxiing aircraft, known as the Ground Movement problem, is increasingly important air traffic levels continue increase. If taxiways cannot be reliably traversed quickly, aircraft can miss valuable assigned slots at runway or waste fuel waiting for other clear. Efficient algorithms this problem have been proposed, but little work has considered uncertainties inherent in domain. This paper proposes an adaptive Mamdani fuzzy rule based system estimate taxi times...

Among all airport operations, aircraft ground movement plays a key role in improving overall capacity as it links other operations. Moreover, ever-increasing air traffic, rising costs, and tighter environmental targets create pressure to minimize fuel burn on the ground. However, current routing functions envisioned Advanced Surface Movement, Guidance Control Systems almost exclusively consider most time-efficient solution apply conservative separation ensure conflict-free surface movement,...

This paper draws upon earlier work, which developed a multiobjective speed profile generation framework for unimpeded taxiing aircraft. Here, we deal with how to seamlessly integrate such efficient profiles into holistic decision-making framework. The availability of set nondominated each taxiway segment, respect conflicting objectives, has the potential significantly impact airport ground movement research. More specifically, routing and scheduling function that was previously based on...

Recent research on airport ground movement introduced an Active Routing framework to support multi-objective trajectory-based operations. This results in edges the taxiway graph having multiple costs such as taxi time, fuel consumption and emissions. In a graph, exist between two nodes reflecting different trade-offs among costs. Aircraft will have choose most efficient edge from order traverse one node another respecting various operational constraints. this paper, we introduce routing...

Ever increasing air traffic, rising costs and tighter environmental targets create a pressure for efficient airport ground movement. Ground movement links other operations such as departure sequencing, arrival sequencing gate/stand allocation its operation can affect each of these. Previously, reducing taxi time was considered the main objective problem. However, this may conflict with efforts airlines to minimise their fuel consumption shorter require higher speed acceleration during...

Airport ground movement remains a major bottleneck for air traffic management. Existing approaches have developed several routing allocation methods to address this problem, in which the taxi time traversing each segment of taxiways is fixed. However, typically difficult estimate advance, since its uncertainties are inherent airport optimisation due various unmodelled and unpredictable factors. To under uncertainty, we introduce chance-constrained programming model with sample approximation,...

Routing and scheduling problems with increasingly realistic modeling approaches often entail the consideration of multiple objectives, time constraints, system as a multigraph. This detailed approach has increased computational complexity may also lead to violation additivity property costs. In worst scenario, makes problem intractable for exact algorithms. Even when is solvable, algorithms not provide solutions within given budget, found are guaranteed be optimal due violation. Approximate...

In addition to time efficiency, minimisation of fuel consumption and related emissions has started be considered by research on optimisation airport surface operations as more airports face severe congestion tightening environmental regulations. Objectives are economic cost which can used preferences search for a region efficient Pareto optimal solutions. A multi-objective evolutionary framework with is proposed in this paper solve complex problem integrating runway scheduling ground...

Aircraft ground movement plays a key role in improving airport efficiency, as it acts link to all other operations. Finding novel approaches coordinate the movements of fleet aircraft at an order improve system resilience disruptions with increasing autonomy is center many studies for airside Moreover, autonomous taxiing envisioned component future digitalized airports. However, state-of-the-art routing and scheduling algorithms do not consider high-fidelity models both proactive reactive...

Airports and their related operations have become the major bottlenecks to entire air traffic management system, raising predictability, safety environmental concerns.One of underpinning techniques for digital sustainable transport is airport ground movement optimisation.Currently, real data made freely available majority aircraft at many airports.However, recorded not accurate enough due measurement errors general uncertainties.In this paper, we aim develop a new interval type-2 fuzzy logic...

Emissions during the ground movement are mostly calculated based on International Civil Aviation Organisation (ICAO) emission databank. The fuel flow rate is normally assumed as a constant, hence index. Therefore, no detailed discrimination of power settings considered to account for different emissions at settings. This may lead suboptimal and often unrealistic taxi planning. At heart recently proposed Active Routing (AR) framework airport unimpeded optimal speed profile generation, taking...

The ever growing air traffic demand and highly connected transportation networks put considerable pressure for the sector to optimise management (ATM) related performances develop robust ATM systems. Recent efforts made in accurate aircraft taxi time prediction have shown significant advancement generating more efficient routes schedules, benefiting other key airside operations, such as runway sequencing gate assignment. However, little study has been devoted quantification of uncertainty...

Abstract Process of ready mixed concrete (RMC) delivery is an example multi-objective optimization due to the conflicting objectives parties involved. In order face this problem, discrete event simulation model process created with input parameters based on surveyed data real processes. The simulated different vehicle dispatching policies and results are analysed focusing performance indicators. research compared in terms Pareto optimality indicate that employing effective strategies can...

As airports all over the world are becoming more congested together with stricter environmental regulations put in place, research on optimisation of airport surface operations started to consider both time and fuel related objectives. However, as can have a monetary cost associated them, this information be utilised preference during guide search process region most efficient solutions. In paper, we solve integrated problem combining runway scheduling ground movement by using...

Abstract This paper compares different solution approaches for the multi-objective shortest path problem (MSPP) on multigraphs. Multigraphs as a modelling tool are able to capture available trade-offs between objectives given section of route. For this reason, they increasingly popular in transportation problems with multiple conflicting (e.g., travel time and fuel consumption), such time-dependent vehicle routing, multi-modal planning, energy-efficient driving, airport operations. The...

Safer and more efficient airport ground movements can be planned by routing scheduling systems based on the 4-dimensional trajectory (4DT). In order to achieve benefits envisioned in planning stage, an effective taxiing guidance system is indispensable. The Follow-the-Greens (FtG) concept provides augmented means for 4DT with pilot loop, which expected guide piloted aircraft dynamically adjusting lit position of green navigation lamps according assigned 4DTs. This paper presents a simulation...

With increasing demand for air travel and overloaded airport facilities, inefficient taxiing operations are a significant contributor to unnecessary fuel burn substantial source of pollution. Although is only small part flight, aircraft engines not optimised speed so contribute disproportionately the overall burn. Delays in also waste scarce resources frustrate passengers. Consequently, reducing time spent an important investment. An exact algorithm finding shortest paths based on A*...

Air traffic at many airports around the world is expected to grow, more often than not and near capacity. Investing in new infrastructure an option albeit relatively long-term but making a better use of existing facilities even short mid-term solution. Although Aircraft ground movement represents only fraction overall operations, optimal airport taxiing terms fuel burn CO emission can contribute significantly running costs environment impact. Hence, with view optimising busy airports, this...