Enabling Safe Teleoperated Mobility Through Model-Based Development

Teleoperated mobility is becoming a practical path to delivering driverless services on public roads. While autonomous systems still face technical and regulatory challenges, Vay has shown that teleoperated electric vehicles can already operate safely and commercially at scale. Trained teleoperators bring vehicles to customers remotely, enabling new mobility experiences and improving fleet efficiency.

Explore how Vay uses Model-Based Design and simulation-driven engineering to ensure safety and reliability in teleoperated vehicle development. The approach must satisfy key requirements: consistent handling across diverse vehicle platforms, predictable control behavior under varying network conditions, and rigorous safety validation aligned with regulatory expectations. Meeting these demands requires structured analysis and verification before vehicles operate on public roads.

MATLAB^® and Simulink^® play a central role. Vay uses vehicle dynamics models to study motion control behavior across a wide range of scenarios, from different speeds to challenging maneuvers. These simulations reveal edge cases early, reduce reliance on physical vehicles, and provide a repeatable evaluation framework for engineering, safety, and operations. Parameterized models enable controlled testing without exposing proprietary control logic.

You’ll also see how model-based insights support integration and scaling. When onboarding new vehicle platforms, evaluations based in Simulink derisk integration by analyzing steering characteristics, actuation behavior, and latency effects. This strengthens engineering confidence and supports regulatory processes by complementing road testing with structured simulation evidence.

Get insights from operating the world’s first commercial teleoperated service without a safety driver. Combining simulation-driven development with operational learning has been essential to delivering a safe, reliable service. See how Model-Based Design and simulation-driven engineering underpin Vay’s motion control development within the broader teleoperation system.