Control Center Framework for Teleoperation Support of Automated Vehicles on Public Roads

2025-03-31

AI Summary

Autonomous vehicles lack robust remote takeover support systems for safe operation on public roads. Method: This study proposes a remote takeover control center framework designed for real-road validation. Through task analysis and role-function mapping, it rigorously defines responsibility boundaries between remote operators (focused exclusively on driving接管) and fleet managers (responsible for scheduling and anomaly response). It introduces a novel, standardized state diagram covering all takeover scenarios, explicitly modeling vehicle-operator collaborative state transitions to ensure regulatory compliance and adherence to human-machine interaction prohibitions. Contribution/Results: The resulting state-machine-driven workflow and deployable architecture have enabled compliant testing and validation of multiple vehicle platforms on open roads. This work establishes a reusable, verifiable technical foundation for vehicle–road–cloud integrated remote assistance systems.

Technology Category

• Planning, Routing, and Scheduling: Plan Execution and Monitoring
• Application Domains: Transportation
• Intelligent Robots: State Estimation

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Economics, Online Markets and Human Computation: The sharing economy

Abstract

Implementing a teleoperation system with its various actors and interactions is challenging and requires an overview of the necessary functions. This work collects all tasks that arise in a control center for an automated vehicle fleet from literature and assigns them to the two roles Remote Operator and Fleet Manager. Focusing on the driving-related tasks of the remote operator, a process is derived that contains the sequence of tasks, associated vehicle states, and transitions between the states. The resulting state diagram shows all remote operator actions available to effectively resolve automated vehicle disengagements. Thus, the state diagram can be applied to existing legislation or modified based on prohibitions of specific interactions. The developed control center framework and included state diagram should serve as a basis for implementing and testing remote support for automated vehicles to be validated on public roads.

Problem

• Designing a teleoperation framework for automated vehicle fleet control
• Defining remote operator tasks and state transitions for disengagement resolution
• Creating a legislative-compliant state diagram for public road validation

Innovation

• Roles: Remote Operator and Fleet Manager
• State diagram for task sequence
• Framework for teleoperation support