Cognitive science: an introduction
Cognitive science: an introduction
Applied Numerical Methods for Engineers and Scientists
Applied Numerical Methods for Engineers and Scientists
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation services to support the control design of rail infrastructures
Proceedings of the 38th conference on Winter simulation
An investigation of real-time dynamic data driven transportation simulation
Proceedings of the 38th conference on Winter simulation
Underlying issues associated with validation and verification of dynamic data driven simulation
Proceedings of the 38th conference on Winter simulation
Introduction to the ICCS 2007 Workshop on Dynamic Data Driven Applications Systems
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Dynamic Data Driven Applications Systems --- DDDAS 2008
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
An adaptive freeway traffic state estimator
Automatica (Journal of IFAC)
Proceedings of the 40th Conference on Winter Simulation
Introduction to the ICCS2006 workshop on dynamic data driven applications systems
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Dynamic data driven application simulation of surface transportation systems
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
From data to simulation models: component-based model generation with a data-driven approach
Proceedings of the Winter Simulation Conference
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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 uses real data streams for automatic model calibration at run-time. For situations that cannot be automated, expert interference can be supported by interactive processes. Different model calibration schemes can be applied to several replications simultaneously to assess the schemes and to determine the parameter values that best match the most recent situation. The model can be fed with data derived from different scenarios, from decision variations or from real-time measurements to accomplish accurate and automated model calibration. This provides a foundation for the use of simulation for railway controller training tools and real-time rail monitoring systems.