Examining the spatiotemporal changing pattern of freight maritime transport networks in Indonesia during COVID-19 outbreaks

The COVID-19 pandemic in Indonesia has led to a significant change in human mobility. It is also considered the most serious threat to the inter-island trade network since the economic crisis in 1998. Leveraging two-year historical port call data (covering 6,000 records in total) of Indonesian domestic cargo vessels from the Automatic...

Particle filter–based data assimilation in dynamic data-driven simulation: sensitivity analysis of three critical experimental conditions

Data assimilation (DA) is a methodology widely used by different disciplines of science and engineering. It is typically applied to continuous systems with numerical models. The application of DA to discrete-event and discrete-time systems including agent-based models is relatively new. Because of its non-linearity and non-Gaussianity, the...

Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation

Dynamic data-driven simulation (DDDS) incorporates real-time measurement data to improve simulation models during model run-time. Data assimilation (DA) methods aim to best approximate model states with imperfect measurements, where particle Filters (PFs) are commonly used with discrete-event simulations. In this paper, we study three critical...

Assessing the impacts of shared autonomous vehicles on congestion and curb use: A traffic simulation study in The Hague, Netherlands

New developments in the automotive world have the power to change mobility, but because of high uncertainties, municipalities are adopting a wait-and-see attitude. Nonetheless, autonomous, connected and shared vehicle technologies are in a far stage of development and it is only a matter of time before shared autonomous vehicles (SAVs) enter...

Exploring the topology of the maritime transport network in a large-scale archipelago: a complex network approach

In this study, we use a complex network analysis approach to investigate the topological structure of container shipping networks in the Indonesia archipelago to understand the network topology. Containerized cargo is responsible for more than half of the inter-island trade volume, making it one critical freight transport mode in the Indonesia...

Graph transformation based simulation model generation

The graph transformation based method presented in this paper can automatically generate simulation models assuming that the models are intended for a certain domain. The method differs from other methods in that: the data used for model generation does not contain specifications of the model structures to be generated; the generated simulation...

Component-based light-rail modeling in discrete event systems specification (DEVS)

A systems theoretical perspective on data-driven modeling and simulation

Towards automated model calibration and validation in rail transit simulation

The benefit of modeling and simulation in rail transit operations has been demonstrated in various studies. However, the complex dynamics involved and the ever-changing environment in which rail systems evolve expose the limits of classical simulation. Changing environmental conditions and second order dynamics challenge the validity of the...

From data to simulation models : component-based model generation with a data-driven approach

A DEVS library for rail operations simulation

Rail transit network design supported by an open source simulation library: Towards reliability improvement

The Architecture and Components of LIBROS: Strengths, Limitations, and Plans

Towards automated model calibration and validation in rail transit simulation

LIBROS-II: Railway Modelling with DEVS

A dynamic data-driven approach for rail transport system simulation