The Potential of Multiple Connected and Federated Simulators and Models for Highway Transportation Research

Fisher, Donald; Deshmukh Towery, Nate; Wong, Melissa; Machek, Elizabeth; Melnik, Gina; Lohrenz, Maura · 2017 · ROSA P / United States. Federal Highway Administration. Office of Corporate Research, Technology, and Innovation

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Summary

This report, produced by the Federal Highway Administration (FHWA) under its Exploratory Advanced Research Program, investigates the potential of connected and federated simulators and models for highway transportation research. The study is motivated by the limitations of traditional driving simulators, which typically operate in isolation and fail to adequately model interactions between multiple road users. By examining the technological challenges and envisioned uses of federated simulation—where simulators connect with other simulators, models, or both—the report aims to identify how this technology can advance research in safety, operations, planning, and policy, potentially reducing crashes, congestion, and carbon emissions. The research methodology combined a detailed literature review, a workshop on distributed driving simulation held at the Transportation Research Board (TRB) Annual Meeting in January 2016, and interviews with FHWA officials. The literature review categorized existing research into six areas, including federated simulation and interoperability. The TRB workshop gathered experts to identify use cases and technical barriers for expanding simulation infrastructure beyond standalone, single-mode functionality. FHWA interviews assessed current simulation usage and potential applications across various offices, revealing a broad interest in solving complex problems through connected systems. The findings highlight distinct challenges and opportunities for different simulation types. For connected driving simulators, the primary barrier is the lack of compelling use cases and resources, alongside technical issues such as software version incompatibility and hardware differences in asynchronous setups. Synchronous simulation across distant sites faces significant hurdles regarding network latency (requiring under 50 ms), network drops, and security, which are more critical in behavioral research than in gaming. Conversely, traffic simulators benefit from greater interoperability and established frameworks for distributed asynchronous and synchronous modeling, such as the SHRP2 multiresolution modeling framework. The report also notes that transportation planning models are evolving from traditional four-step processes to activity-based models, though integration with microscopic simulations remains loose. Emerging technologies, such as head-mounted devices and faster internet speeds, promise to enable large-scale, real-time federated simulations involving thousands of participants. The significance of this work lies in its identification of the technical and resource gaps that must be addressed to realize the full potential of federated simulation. The report concludes that while engineering advances exist, widespread adoption is hindered by interoperability issues, high costs, and a lack of standardized protocols. Overcoming these challenges could allow for the automated integration of nanoscopic, microscopic, mesoscopic, and macroscopic simulations, enabling more accurate modeling of complex transportation systems, including the interactions between automated vehicles, traditional drivers, and non-motorized users. This advancement is critical for evaluating intelligent transportation systems and supporting long-term transportation planning and policy decisions.

Key finding

Connected and federated simulators offer significant potential to advance highway transportation research in safety, operations, planning, and policy, but their widespread adoption is currently limited by technical challenges such as network latency, interoperability, and resource constraints.

Methodology

mixed_methods

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• simulator validity fidelity
• simulator training transfer
• situational awareness

Information type

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• Methodological Resource: tool software, validation psychometrics
• Theoretical Contribution: computational model