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STIFF: System transformation for uptime for driverless vehicles

Aim and main expected results

A noticeable change with the introduction of driverless trucks is that the driver is no longer present onboard the vehicles. In the previous Vinnova project uptime for driverless vehicles (TIFF), we identified several critical aspects of removing the driver that will affect uptime. These aspects will influence the fault-handling system and the needed support to ensure a high level of uptime in a driverless transport system. In this project, the fault-handling system is defined as the system that ensures vehicle reliability and offers diagnosis, maintenance, and repair of vehicles. From a fault-handling perspective, securing uptime implies providing suitable support when vehicle faults occur so that the vehicles can perform their tasks according to plan.

In the project, we study two types of changes in the fault-handling system that can remedy these problems:

  1. Changed roles and interactions from a socio-technical perspective and
  2. Design of intelligent and automated decision support and decision methods that can support uptime.

The outcome of the project is a proposed system design of the fault-handling system, knowledge about how systemic design methods and processes can support the design of systems affected by technology shifts, and intelligent decision-support models that can support uptime.

Project partners

Scania (coordinator); KTH 

Project plan

Start: [~ May 2022]; End: [~ Feb 2026].

Funder

Vinnova , FFI

Contact

Lina Rylander
Lina Rylander industrial doctoral student linary@kth.se Profile
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Belongs to: Engineering Design
Last changed: Oct 11, 2024
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