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arXiv · 2508.07881

Adopting Road-Weather Open Data in Route Recommendation Engine

Henna Tammia·Benjamin Kämä·Ella Peltonen
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Abstract

Digitraffic, Finland's open road data interface, provides access to nationwide road sensors with more than 2,300 real-time attributes from 1,814 stations. However, efficiently utilizing such a versatile data API for a practical application requires a deeper understanding of the data qualities, preprocessing phases, and machine learning tools. This paper discusses the challenges of large-scale road weather and traffic data. We go through the road-weather-related attributes from DigiTraffic as a practical example of processes required to work with such a dataset. In addition, we provide a methodology for efficient data utilization for the target application, a personalized road recommendation engine based on a simple routing application. We validate our solution based on real-world data, showing we can efficiently identify and recommend personalized routes for three different driver profiles.

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Henna Tammia, Benjamin Kämä, Ella Peltonen. 2025-08-11. Adopting Road-Weather Open Data in Route Recommendation Engine. https://arxiv.org/abs/2508.07881

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