Yilin HuangDelft University of Technology | TU · Department of Multi Actor Systems
Yilin Huang
Doctor of Philosophy
Modelling and Simulation Methodology, Delft University of Technology
About
24
Publications
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Introduction
I am an Assistant Professor in Modeling and Simulation (M&S) at Delft University of Technology. My research mainly concerns M&S methodology with particular interests in data-driven and data analytics related subjects, interoperability and composability of dynamic models. The application domain of my research ranges from transportation and logistics, smart grid, sustainable consumption to humanitarian innovations. I am interdisciplinary at heart.
Additional affiliations
November 2008 - present
Publications
Publications (24)
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 particle...
Quality humanitarian information is essential for efficient, effective and coordinated humanitarian responses. During crises, however, humanitarian responders rarely have access to quality information in order to provide the much-needed relief in a timely fashion. Traditional methods for the acquisition and evaluation of humanitarian information ty...
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 cond...
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 urban...
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 arch...
There is a pressing need for road authorities to take a proactive role in the deployment of automated vehicles on the existing road network. This requires a comprehensive understanding of the driving environment characteristics that affect the performance of automated vehicles. In this context, a field test with Lane Departure Warning (LDW) and Lan...
In traditional engineering, technologies are viewed as the core of the engineering design, in a physical world with a large number of diverse technological artefacts. The real world, however, also includes a huge number of social components—people, communities, institutions, regulations and everything that exists in the human mind—that have shaped...
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 mod...
Rail modeling and simulation is an effective decision support instrument for planning and designing complex rail infrastructures and operations. To successfully support these activities at a large scale, the simulation model should be sufficiently detailed and yet be computationally efficient. This poses a set of challenges pertaining to the design...
Emerging smart grids have promising potentials to make energy management more efficient than currently possible in today's power grids. Integration of small scale renewables, distributed charging of electrical vehicles and virtual power stations are some of the technological innovations made possible by smart grids. Besides these technological aspe...
This paper discusses Data-Driven Modeling and Simulation (DDM&S) from a systems theoretical viewpoint. The focus is on understanding Systems Theory in relation with Modeling and Simulation (M&S) and how data may convey information about a system. Such an understanding could help formalizing the transformation process from data to systems knowledge...
Model building is time-consuming and requires expertise in different areas. In this paper, we propose a data-driven approach for automatic model generation using pre-built and validated model components (or building blocks). We view this approach as an automated reuse of model components. Issues such as modularity and composability of model compone...
Detailed yet computationally efficient simulation models
are needed to support the design and operation of modern rail
infrastructure systems. LIBROS-II is a model component library
for microscopic rail operations simulation. Basic rail elements
are modeled as atomic DEVS models which are further
aggregated into more elaborate rail component models...
The increasing complexity of railway systems and the high costs incurred by design and operational errors make modeling and simulation a popular methodology in the domain of railway transportation. To successfully support detailed design and operation, a microscopic rail network model is often deemed not only suitable but also mandatory. However, t...
Railway systems have long life spans, during which changes take place that lead to new issues to study. These changes can ask for the construction or alteration of simulation models for an analysis of the rail system. LIBROS is an open source Java package that supports distributed microscopic multi-formalism simulation of heavy and light rail opera...
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 models...
Simulation models are often used to analyze the behavior and performance of infrastructure systems. The use of simulation models in multi-actor design processes is restricted to the analysis phase after conceptual designs have been completed. To use simulation models throughout the design process, simulation environments need to be adapted to suppo...
Rail transit network design is extremely cumbersome and complex. Being one of the most important dimensions of transit quality of service, reliability should be adequately considered at strategic, tactical and operational levels of the design. This requires skilled professionals as well as technological supports. Closed-form analytic models become...
Public rail transport systems concern infrastructure and control strategies with long life spans. While many rail system simulations aim at planning and design, this paper proposes a dynamic data-driven approach to improve the adaptability of the model, hence promoting an extended use of the simulation model. In the proposed approach, the simulatio...