Detailed Concept of Operations: Transportation Systems Management and Operations/Cooperative Driving Automation Use Cases and Scenarios

Nallamothu, Sudhakar; Stark, John; Birriel, Elizabeth; Inamdar, Imran; Rosenbohm, Nu; Shah, Aafiya; Ticatch, Joel L.; Vadakpat, Govind; Lochrane, Taylor · 2020 · ROSA P / United States. Federal Highway Administration

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Summary

This report presents a detailed Concept of Operations (ConOps) for integrating Cooperative Driving Automation (CDA) with Transportation Systems Management and Operations (TSMO) strategies. Sponsored by the Federal Highway Administration (FHWA) and developed by Leidos, Inc., the document supports the Connected Automated Roadway Mobility Applications (CARMA) platform. The research aims to define testable use cases that demonstrate how automated driving systems (ADS) can interact with TSMO infrastructure to improve safety, mobility, and reliability. Building on a high-level ConOps that identified approximately 160 potential situations across four domains, this report focuses on specific "Group 1" priority situations to establish operational frameworks for algorithm development and testing. The study examines four primary use cases: basic travel, traffic-incident management (TIM), road-weather management (RWM), and work-zone management (WZM). For each use case, the authors defined a typology consisting of vehicle travel areas (advanced warning, transition, activity, and termination zones), situation groups, and specific scenarios. The methodology involved identifying operational needs, stakeholders, concept diagrams, information flows, triggers, and functional requirements for selected priority situations. These situations include ADS-equipped vehicles merging onto a highway (basic travel), yielding to emergency responders (TIM), adjusting speed and gap on wet pavement (RWM), and navigating one-lane, two-way traffic tapers in work zones (WZM). The framework distinguishes between levels of vehicle automation and classes of cooperation, utilizing both short-range (e.g., IEEE802.11p) and long-range (e.g., 5G) communications to facilitate data exchange between vehicles, roadside units, and Traffic Management Centers. The findings provide structured operational descriptions and requirements traceability matrices for each priority situation. For instance, in the TIM use case, the report details how ADS-equipped vehicles receive notifications from Traffic Management Centers to move out of the way of first-responder vehicles, specifying the necessary perception, decision-making, and control functions. Similarly, the RWM use case outlines triggers for ADS vehicles to slow down and increase following distances when passing over wet pavement, based on data from Road Weather Information Systems. Each scenario includes defined performance metrics and identifies the specific roles of ADS-equipped vehicles, non-ADS vehicles, and transportation management services. The document also maps these specific situations to broader TSMO strategies, clarifying how CDA data impacts existing operational protocols. The significance of this work lies in its provision of a standardized, testable framework for validating CDA technologies within real-world transportation operations. By explicitly defining operational design domains, triggers, and functional requirements, the report enables the development of algorithms that can be integrated into the CARMA platform for proving-ground and on-road testing. This detailed ConOps serves as a critical resource for transportation stakeholders, helping to bridge the gap between theoretical automation capabilities and practical TSMO implementation. It ensures that future automated driving systems are designed to cooperate effectively with infrastructure and human operators, thereby enhancing the overall efficiency and safety of the transportation network.

Key finding

The report defines detailed operational requirements and functional specifications for four priority cooperative driving automation scenarios to support the development of the CARMA platform.

Methodology

theoretical

Provenance

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Topics

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• odd communication
• situational awareness
• v2x connected vehicle
• emergency work zone conspicuity

Information type

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• Methodological Resource: dataset resource
• Theoretical Contribution: conceptual framework