From Data to Warnings: Challenges in Building in-Vehicle Data-Driven Hazard Warning Systems
Alexander Stocker, Gerald Musser
2025
Abstract
Data offers a strong potential for advanced, data-driven services such as in-vehicle hazard warning systems. As data spaces and ecosystems mature, access to relevant assets for these applications will grow. This paper reviews the state of driver warning and reports on a project that developed a prototypical data-driven hazard warning system to alert drivers to potential route dangers. We present its architecture and key implementation challenges, including backend event generation, frontend warning mechanisms, data availability and integration, transformation of heterogeneous inputs into actionable warnings, definition of warning logics, handling of data validity and expiration, and human factors such as modality and user acceptance. By addressing these challenges through our prototype, the paper highlights technical and systemic requirements for dependable, data-driven warning applications in the evolving mobility data ecosystem.
DownloadPaper Citation
in Harvard Style
Stocker A. and Musser G. (2025). From Data to Warnings: Challenges in Building in-Vehicle Data-Driven Hazard Warning Systems. In Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-772-6, SciTePress, pages 236-243. DOI: 10.5220/0013802500003985
in Bibtex Style
@conference{webist25,
author={Alexander Stocker and Gerald Musser},
title={From Data to Warnings: Challenges in Building in-Vehicle Data-Driven Hazard Warning Systems},
booktitle={Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2025},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013802500003985},
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 - From Data to Warnings: Challenges in Building in-Vehicle Data-Driven Hazard Warning Systems
SN - 978-989-758-772-6
AU - Stocker A.
AU - Musser G.
PY - 2025
SP - 236
EP - 243
DO - 10.5220/0013802500003985
PB - SciTePress