Comprehending and effectively using automated driving functions in heavy truck operations

Purpose and goal:

The automotive industry is implementing driver assistance systems that will make driving safer, more comfortable and more environmentally friendly. Information about these systems is currently scattered across different sources. This project investigates how the development of 6G and AI can enable voice-based agents that support drivers of heavy vehicles in their learning. The goal is to develop and test new solutions that can contribute to safer, more efficient and more inclusive learning.

Expected results and effects:

Better understanding of how driver assistance systems should be used is important to achieve high acceptance of vehicle automation, as well as realize the technology´s potential in terms of increased safety and user experience. The project will show how voice interaction, combined with AI and 6G, can help heavy vehicle drivers use vehicle systems more optimally. Long-term effects include reduced accidents, reduced climate impact and a strengthening of the competitiveness of Swedish industry.

Approach and implementation:

The project focuses on driver assistance systems that support SAE Level 2 automation, which includes e.g., adaptive cruise control. Initially, a needs analysis is carried out to identify use cases. Subsequently, design concepts for AI-based voice interaction are developed and evaluated with truck drivers in a user study. The project concludes with an analysis of the study´s results, an analysis of the possibilities with 6G, and report writing.