Maturity of Vehicle Digital Twins: From Monitoring to Enabling Autonomous Driving
Robert Klar, Niklas Arvidsson, Vangelis Angelakis

TL;DR
This paper reviews the development and maturity of vehicle digital twins, highlighting their applications from monitoring to enabling autonomous driving, and introduces a maturity tool to assess their readiness.
Contribution
It presents a comprehensive analysis of recent trends in vehicle digital twins and introduces a maturity assessment tool to evaluate their development levels.
Findings
Most digital twins are at level 3, enabling real-time monitoring.
Level 5 digital twins exist in closed environments for autonomous operation.
Digital twin maturity varies depending on application goals.
Abstract
Digital twinning of vehicles is an iconic application of digital twins, as the concept of twinning dates back to the twinning of NASA space vehicles. Although digital twins (DTs) in the automotive industry have been recognized for their ability to improve efficiency in design and manufacturing, their potential to enhance land vehicle operation has yet to be fully explored. Most existing DT research on vehicle operations, aside from the existing body of work on autonomous guided vehicles (AGVs), focuses on electrified passenger cars. However, the use and value of twinning varies depending on the goal, whether it is to provide cost-efficient and sustainable freight transport without disruptions, sustainable public transport focused on passenger well-being, or fully autonomous vehicle operation. In this context, DTs are used for a range of applications, from real-time battery health…
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Taxonomy
TopicsDigital Transformation in Industry
