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TADDO: Trustworthy Automated Driving DevOps

The TADDO project has the goals to: (1) identify gaps and barriers as a baseline for defining important directions for Trustworthy DevOps; and (2) develop a synopsis for a follow-up research project based on a prioritization of topics anchored with key automotive Swedish stakeholders.

TADDO addresses the insufficiency of current DevOps practices for safety-critical systems. Trustworthy DevOps refers to the need to trust the entire “loop”; from monitoring over updates to the actual safety risks and performance related to the “updated behaviors” and their impact.

The TADDO project and follow-up efforts are expected to pave the way for a new methodology for connected automated vehicles (CAVs) that is necessary for (and contributes to) enhanced traffic and work environment safety in an evolving road traffic landscape with automated and new types of vehicles. Competence in this area will be important for the Swedish automotive industry as their architectures and development methodologies are transforming.

Project duration: June 2023 - March 2024
Project lead and contact: Martin Törngren (

Project partners: KTH, CAG Syntell, Einride, Magna Electronics, Qamcom, Scania, Volvo Autonomous Solutions, Zenseact.

The project is part of the Vinnova collaboration in vehicle strategic research and innovation (FFI):

EXHILO: Real-time exoskeleton control for human-in-the-loop optimization
HARU: On the compliance, reliability and motion control of a tabletop robot
IRIS: Novel Mechatronic Systems and Soft Robotics enabled by 4D Printing and Machine Learning
Excellence in production research (XPRES)
FIRE - the Future of mItigating Rural firEs
PICTORIAL - Predictive Intelligent Control for Resistance Welding
TADDO: Trustworthy Automated Driving DevOps
Entice - Enablers for trustworthy, infrastructure supported, autonomous vehicles
StorAIge: Embedded storage elements on next MCU generation ready for AI on the edge
BOAUT - Boundaries Of AUTonomy
Susan's Ride on Campus 2030
WASP: AD-EYE – an Open Modular Testbed
CAMPUS 2030 – Enabling systemic solutions for smart roads
ATRIUM: ArchiTectural RefInement using Uncertainty Management
InSecTT – Intelligent Secure Trustable Things
Rigorous Systems Engineering
SMP Tool