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Emergencies can cause complex challenges for emergency hospitals, requiring an effective allocation of limited resources to reduce the loss toll. In this paper, we address a declarative modeling approach for the problem of assigning casualties to ...

Recently proposed gradient estimators enable gradient descent over stochastic programs with discrete jumps in the response surface, which are not covered by automatic differentiation (AD) alone. Although these estimators’ capability to guide a ...

Online dating is a multibillion-dollar global industry, and is increasingly becoming the go-to method for finding partners. Intricate dynamics mark its operation, influenced by varying user preferences, strategies, and traits, as well as by the ...

Two-sided markets disrupted our economies, reshaping markets as diverse as tourism (airbnb), mobility (Uber) and food deliveries (UberEats). New market leaders arose leveraging on platform-based business model, questioning well-established paradigms. The ...

The development and popularization of new energy vehicles have become a global consensus. The shortage and unreasonable layout of electric vehicle charging infrastructure (EVCI) have severely restricted the development of electric vehicles. In the ...

Multi-agent approach is very popular for modelling and simulation of complex phenomena, design and programming of decentralised computing systems. Asynchronous beings, which do not share state but communicate using messages are a convenient abstraction ...

Traditionally, parallel discrete-event simulations of agent-based models in continuous time are organized around logical processes exchanging time-stamped events, which clashes with the properties of models in which tightly coupled agents frequently and ...

Modeling external and empty freight trips helps in better planning and scheduling of transportation operations. This can lead to more effective route planning, load consolidation, and overall optimization of transportation networks. In this study ...

A common task in today’s transport simulation research is the assessment of on-demand mobility services on a large scale. A framework that is widely used for such tasks is MATSim, which has been applied frequently to study highly dynamic on-demand ...

In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models ...

Numerous forms of consumer-generated media (CGM), such as social networking services (SNS), are widely used. Their success relies on users' voluntary participation, often driven by psychological rewards like recognition and connection from reactions by ...

Speculative parallel discrete event simulation on shared-memory machines has become a hot field to study due to its exploitation of massively parallel computing systems. This paper reviews various aspects taken into account during the first two ...

Scenario-based Bayesian networks (BNs) have been proposed as a tool for the rational handling of evidence. The proper evaluation of existing methods requires access to a ground truth that can be used to test the quality and usefulness of a BN model of a ...

The power consumption of reefers in container yards is affected by the number of reefers, the type of cargo and the working state (refrigeration or insulation), resulting in significant fluctuations that can impact the stability of power supply ...

Fog computing, as an extension of the cloud, provides computing resources for Internet of Things (IoT) applications through communicative fog nodes located at the network edge. Fog nodes assist cloud services in handling real-time applications by ...

Agent-based Simulation Modelling focuses on the agents' decision making in their individual context. The decision making details may substantially affect the simulation outcome, and therefore need to be carefully designed. In this paper we contrast two ...

The introduction of new mobility technologies and systems have historically shaped the patterns of settlements. With the advent of autonomous vehicles (AVs) and the implementation of ubiquitous mobility-as-a-service (MaaS) systems, it can be ...

Conventional wisdom is that a person's attitude towards an issue dictates their behaviour. In contrast, self-perception theory accounts for how a person forms their attitude. In the context of this paper, the theory asserts that a person can, in ...

Agent-based models (ABM) for transportation operations have been largely focused on passenger trips, while recent developments in the field began the incorporation of freight-related operations. However, these models rarely incorporate freight-...

This research looks at the application of an agent-based model to assess the effects of changes in the public transport on passenger flows. Data from public transport company GVB was provided by the municipality of Amsterdam. We used domain ...