Coupled Traffic Simulation by Detached Translation Federates: An HLA-Based Approach

Gütlein M, Djanatliev A (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Pages Range: 1-12

Conference Proceedings Title: Proceedings of the 2019 Winter Simulation Conference (WSC)

Event location: National Harbor, MD, USA US

DOI: 10.1109/wsc40007.2019.9004809

Abstract

Typically, there is more than one possible answer to the question of how to model and simulate a problem. Combinations of different simulation paradigms and techniques are currently in vogue and potentially necessary to meet certain requirements. Besides clear advantages, model combinations tend to increase the complexity of the overall model building process. Even if different paradigms are coupled via a middleware, another use case might require reimplementing the connections. Additionally, users need increased effort to understand how the results have been generated in composed models. If it is not clear how data has been transformed from input to output, the trust in simulation is impaired. In order to counteract, a concept for reusable translation between submodels is proposed, leading to a better transparency regarding the data flows. We applied the High Level Architecture based approach to connect a macroscopic, a mesoscopic, and a microscopic traffic simulation.

Authors with CRIS profile

Moritz Gütlein Computer Science 7 (Computer Networks and Communication Systems) Anatoli Djanatliev Computer Science 7 (Computer Networks and Communication Systems)

Related research project(s)

Hybrid Co-Simulation Framework Nov. 1, 2017 - Nov. 1, 2020

How to cite

APA:

Gütlein, M., & Djanatliev, A. (2019). Coupled Traffic Simulation by Detached Translation Federates: An HLA-Based Approach. In Proceedings of the 2019 Winter Simulation Conference (WSC) (pp. 1-12). National Harbor, MD, USA, US.

MLA:

Gütlein, Moritz, and Anatoli Djanatliev. "Coupled Traffic Simulation by Detached Translation Federates: An HLA-Based Approach." Proceedings of the 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA 2019. 1-12.

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