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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 simulation study(More)
and the staffs at the Federal Reserve Board and the Federal Reserve Banks of Boston, New York, and Philadelphia for helpful comments. The views expressed here are those of the authors and do not necessarily reflect those of the Federal Reserve Bank of Philadelphia or the Federal Reserve System. Abstract This paper conducts an in-depth analysis of structured(More)
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, the(More)
The Agency CMO market, an often overlooked corner of mortgage finance, has experienced tremendous growth over the past decade. This paper explains the rationale behind the construction of Agency CMOs, quantifies risks embedded in Agency CMOs using a traditional and a novel approach, and offers valuable lessons learned when interpreting these risk measures.(More)
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 and(More)
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(More)
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 components are(More)
Ever since its discovery, graphene bears great expectations in high frequency electronics due to its irreplaceably high carrier mobility. However, it has long been blamed for the weakness in generating gains, which seriously limits its pace of development. Distributed amplification, on the other hand, has successfully been used in conventional(More)