Context-Aware Warning Systems: Leveraging Driving Environment Data for Improved Driver and Road User Warnings

Alexander Stocker, Tahir Emre Kalayci, Michael Spitzer, Gerald Musser

2025

Abstract

Web technologies, Internet of Things (IoT) frameworks, and modern communication standards are increasingly transforming the automotive sector, giving rise to software-defined vehicles. These vehicles operate as connected entities within a broader digital ecosystem, enabling real-time data exchange with infrastructure, cloud services, and other road users. This ongoing digitalization opens new opportunities to improve road safety through intelligent, context-aware driver assistance systems. Our paper introduces a novel context-aware driver warning system to be developed as part of the ROADGUARD project. The system will fuse data from in-cabin driver monitoring with data about the external driving environment to enhance the accuracy and contextual relevance of safety alerts. Conventional Driver Monitoring Systems (DMS) often rely solely on gaze-based heuristics, which can lead to false positives when environmental context is not considered. Our approach will overcome this limitation by integrating multimodal sensing, AI-driven edge inference, secure data sharing, and adaptive, multi-target warning delivery. Our proposed system architecture is structured around three interconnected subsystems-Sensing, Sharing, and Acting. It will not only enable more precise, real-time alerts for drivers but also cooperative warnings for vulnerable road users such as pedestrians and cyclists. By embedding situational awareness and supporting data-driven improvement via mobility data spaces, our system supports the Vision Zero objective of eliminating traffic fatalities.

Paper Citation

in Harvard Style

Stocker A., Kalayci T., Spitzer M. and Musser G. (2025). Context-Aware Warning Systems: Leveraging Driving Environment Data for Improved Driver and Road User Warnings. In Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-772-6, SciTePress, pages 573-581. DOI: 10.5220/0013820600003985

in Bibtex Style

@conference{webist25,
author={Alexander Stocker and Tahir Kalayci and Michael Spitzer and Gerald Musser},
title={Context-Aware Warning Systems: Leveraging Driving Environment Data for Improved Driver and Road User Warnings},
booktitle={Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2025},
pages={573-581},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013820600003985},
isbn={978-989-758-772-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Context-Aware Warning Systems: Leveraging Driving Environment Data for Improved Driver and Road User Warnings
SN - 978-989-758-772-6
AU - Stocker A.
AU - Kalayci T.
AU - Spitzer M.
AU - Musser G.
PY - 2025
SP - 573
EP - 581
DO - 10.5220/0013820600003985
PB - SciTePress