document

A Novel Auction-Based Truck Appointment System for Marine Terminals

Parmaksizoglou, I.A. (author), Bombelli, A. (author), Sharpanskykh, Alexei (author)

Background: Increased maritime trade has led to a surge in drayage operations, causing congestion and environmental issues in port areas. Truck Appointment Systems (TASs) are commonly used to manage truck arrival rates, yet transparency and equity in slot allocation remain problematic, fostering distrust between Licensed Motor Carriers (LMCs)...

journal article 2024

document

Airline Network Planning Considering Climate Impact: Assessing New Operational Improvements

Noorafza, M. (author), Santos, Bruno F. (author), Sharpanskykh, Alexei (author), Zengerling, Zarah L. (author), Weder, Christian M. (author), Linke, Florian (author), Grewe, V. (author)

The aviation industry has set an ambitious goal of reducing its climate impacts. Accordingly, airlines must balance their plans according to this goal with financial considerations. We developed a multi-objective framework to facilitate climate-aware network design by incorporating the objective to minimise the flight average temperature...

journal article 2023

document

Design of a Demand Responsive Transport service using Distributed Constraint Optimization for airport access

Parmaksizoglou, I.A. (author), Bombelli, A. (author), Sharpanskykh, Alexei (author)

Accessibility is one of the key performance indicators in the evaluation of a multimodal transport system and, as a result, transport planning has become increasingly more oriented towards it. Demand Responsive Transport (DRT) services have been proposed as a measure for increasing accessibility of a Public Transit (PT) network by servicing...

conference paper 2023

document

Multi-agent planning and coordination for automated aircraft ground handling

Chen, Szu Tung (author), Ermis, G. (author), Sharpanskykh, Alexei (author)

Inspired by the vision of fully autonomous airside operations at Schiphol airport, this study aims to contribute to the short-term goal of automated aircraft ground handling. In this research, we design and evaluate a multi-agent system for planning of automated ground handling. There are two main components in the system: task allocation...

journal article 2023

document

A comprehensive study of agent-based airport terminal operations using surrogate modeling and simulation

De Bosscher, Benjamin C.D. (author), Mohammadi Ziabari, S.S. (author), Sharpanskykh, Alexei (author)

Airport terminals are complex sociotechnical systems, in which humans interact with diverse technical systems. A natural way to represent them is through agent-based modeling. However, this method has two drawbacks: it entails a heavy computational burden and the emergent properties are often difficult to analyze. The purpose of our research...

journal article 2023

document

Surrogate Modeling of Agent-Based Airport Terminal Operations

De Leeuw, Benyamin (author), Mohammadi Ziabari, S.S. (author), Sharpanskykh, Alexei (author)

The airport terminals are complex sociotechnical systems, which are difficult to understand and their behavior is hard to predict. Hence, an agent-based model, the Agent-based Airport Terminal Operation Model (AATOM), has been designed to represent and analyze diverse airport terminal processes, actors, their behavior and interactions. The main...

book chapter 2023

document

Using Causal Discovery to Design Agent-based Models

Janssen, S.A.M. (author), Sharpanskykh, Alexei (author), Mohammadi Ziabari, S.S. (author)

Designing agent-based models is a difficult task. Some guidelines exist to aid modelers in designing their models, but they generally do not include specific details on how the behavior of agents can be defined. This paper therefore proposes the AbCDe methodology, which uses causal discovery algorithms to specify agent behavior. The methodology...

book chapter 2022

document

Adaptive Resilience of Complex Safety-Critical Sociotechnical Systems: Toward a Unified Conceptual Framework and Its Formalization

Vert, M.P.J. (author), Sharpanskykh, Alexei (author), Curran, R. (author)

Resilience is commonly understood as the capacity for a system to maintain a desirable state while undergoing adversity or to return to a desirable state as quickly as possible after being impacted. In this paper, we focus on resilience for complex sociotechnical systems (STS), specifically those where safety is an important aspect. Two main...

journal article 2021

document

Formal modelling and verification of a multi-agent negotiation approach for airline operations control

Bouarfa, Soufiane (author), Aydoğan, Reyhan (author), Sharpanskykh, Alexei (author)

This paper proposes and evaluates a new airline disruption management strategy using multi-agent system modelling, simulation, and verification. This new strategy is based on a multi-agent negotiation protocol and is compared with three airline strategies based on established industry practices. The application concerns Airline Operations...

journal article 2021

document

Agent-based Modelling and Simulation of Airline Operations Control Decision-Making under Uncertainty

Bouarfa, Soufiane (author), Blom, H.A.P. (author), Sharpanskykh, Alexei (author), Belhadji, K. (author)

Motivated by the need to understand and further optimize AOC decision making processes under uncertainty, this paper implements and evaluates the effects of operational uncertainties using Agent-Based Modelling and Simulation. The specific application concerns a challenging scenario composed of two consecutive disruptions. To evaluate the...

conference paper 2021

document

Systemic agent-based modeling and analysis of passenger discretionary activities in airport terminals

Mekić, A. (author), Mohammadi Ziabari, S.S. (author), Sharpanskykh, Alexei (author)

Discretionary activities such as retail, food, and beverages generate a significant amount of non-aeronautical revenue within the aviation industry. However, they are rarely taken into account in computational airport terminal models. Since discretionary activities affect passenger flow and global airport terminal performance, discretionary...

journal article 2021

document

Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations

Mohammadi Ziabari, S.S. (author), Sanders, Gregory (author), Mekić, A. (author), Sharpanskykh, Alexei (author)

This paper presents a demonstration of our PAAMS 2021 paper using data-driven analysis of airport terminal operations and An Agent-based Airport Terminal Operations Model Simulator (AATOM). The goal of this paper is to demonstrate and analyze the impact of the current COVID-19 and future pandemic-related measures on airport terminal...

conference paper 2021

document

Data-driven analysis of airport security checkpoint operations

Janssen, S.A.M. (author), van der Sommen, Régis (author), Dilweg, Alexander (author), Sharpanskykh, Alexei (author)

Airport security checkpoints are the most important bottleneck in airport operations, but few studies aim to empirically understand them better. In this work we address this lack of data-driven quantitative analysis and insights about the security checkpoint process. To this end, we followed a total of 2277 passengers through the security...

journal article 2020

document

An agent-based empirical game theory approach for airport security patrols

Janssen, S.A.M. (author), Matias, Diogo (author), Sharpanskykh, Alexei (author)

Airports are attractive targets for terrorists, as they are designed to accommodate and process large amounts of people, resulting in a high concentration of potential victims. A popular method to mitigate the risk of terrorist attacks is through security patrols, but resources are often limited. Game theory is commonly used as a methodology...

journal article 2020

document

Agent-based distributed planning and coordination for resilient airport surface movement operations

Fines, Konstantine (author), Sharpanskykh, Alexei (author), Vert, M.P.J. (author)

Airport surface movement operations are complex processes with many types of adverse events which require resilient, safe, and efficient responses. One regularly occurring adverse event is that of runway reconfiguration. Agent-based distributed planning and coordination has shown promising results in controlling operations in complex systems,...

journal article 2020

document

Agent-based vulnerability assessment at airport security checkpoints: A case study on security operator behavior

Janssen, S.A.M. (author), van den Berg, Arjan (author), Sharpanskykh, Alexei (author)

Despite enormous investments in airport security, terrorists have been able to find and exploit vulnerabilities at security checkpoints. Existing vulnerability assessment methodologies struggle with accounting for human behavior, and agent-based modelling forms a promising technique to overcome this limitation. This paper investigated how the...

journal article 2020

document

Modeling and Simulating Human Fatality due to Quadrotor UAS Impact

Rattanagraikanakorn, B. (author), Blom, H.A.P. (author), Sharpanskykh, Alexei (author), de Wagter, C. (author), Jiang, C. (author), Schuurman, M.J. (author), Gransden, Derek I. (author), Happee, R. (author)

Evaluating safety risk posed to third parties on the ground due to UAS impact requires a model of probability of fatality (PoF) for human. For quadrotor UAS, the existing impact models predict remarkably different PoFs. The most pessimistic is the impact model adopted by Range Commanders Council (RCC) while the Blunt Criterion model is far...

conference paper 2020

document

Third Party Risk Indicators and Their Use in Safety Regulations for UAS Operations

Jiang, C. (author), Blom, H.A.P. (author), Sharpanskykh, Alexei (author)

Use of Unmanned Aircraft Systems (UAS) is growing rapidly around the world. Very different types of UAS are used for applications such as aerial photography, inspection, emergency and Urban Air Mobility (UAM), operating in low altitude and urban environment, as well as in high altitude airspace integrated with the conventional air transportation...

conference paper 2020

document

Modelling head injury due to unmanned aircraft systems collision: Crash dummy vs human body

Rattanagraikanakorn, B. (author), Schuurman, M.J. (author), Gransden, Derek I. (author), Happee, R. (author), de Wagter, C. (author), Sharpanskykh, Alexei (author), Blom, H.A.P. (author)

Recent developments in the concept of UAS operations in urban areas have led to risk concerns of UAS collision with human. To better understand this risk, head and neck injuries due to UAS collisions have been investigated by different research teams using crash dummies. Because of the limitations in biofidelity of a crash dummy, head injury...

journal article 2020

document

AbSRiM: An Agent-Based Security Risk Management Approach for Airport Operations

Janssen, S.A.M. (author), Sharpanskykh, Alexei (author), Curran, R. (author)

Security risk management is essential for ensuring effective airport operations. This article introduces AbSRiM, a novel agent-based modeling and simulation approach to perform security risk management for airport operations that uses formal sociotechnical models that include temporal and spatial aspects. The approach contains four main steps:...

journal article 2019