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...

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...

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...

A systems theoretical perspective on data-driven modeling and simulation

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