Traffic simulation based on the high level architecture
Proceedings of the 30th conference on Winter simulation
An approach for federating parallel simulators
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
High Level Architecture for Simulation
DIS-RT '97 Proceedings of the 1st International Workshop on Distributed Interactive Simulation and Real-Time Applications
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
A framework for new generation transportation simulation
Proceedings of the 38th conference on Winter simulation
Parallel Vehicular Traffic Simulation using Reverse Computation-based Optimistic Execution
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
Federated simulations for systems of systems integration
Proceedings of the 40th Conference on Winter Simulation
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The primary focus of computer simulation in transportation engineering has been to model individual systems, using individual modeling software packages. However, this limits the ability to explore interactions between multiple disparate transportation systems in a dynamic modeling environment. To address this gap, this study develops and tests a technique to federate two transportation models, each constructed using different simulation software packages: (1) a discrete event-based simulation model of a freight trucking terminal, and (2) a discrete time step-based traffic microscopic simulation model of the network serving the terminal. The federation technique is tested to determine if feedback loops are established dynamically between the models during simultaneous simulation runtime. The findings suggest that this federated simulation technique captures the dynamic interaction of the two systems being modeled. A comparison of the observed versus expected time-based characteristics of the interactions are shown to yield statistically significant correlation.