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In-vehicle communication has gradually become an important application scenario in mobile communication, second only to home and office communication scenarios. People’s demand for communication quality on the road and inside vehicles has been increasing, and they expect to find a path with good communication quality to meet higher quality experiences such as video, music, and virtual reality. Therefore, high quality and reliable mobile network becomes particularly important on users’ travel routes. This paper proposes a road path recommendation method based on mobile network communication quality, providing users with a travel path planning method with good communication quality. In the method, a road segment-level network quality cost function is constructed based on operator operation big data and network computility, and a heuristic path planning algorithm is given. In addition, this paper also provides a comprehensive evaluation of users’ travel routes, alerts road segments with poor network quality experience, and provides prioritized strategies for addressing these segments. Finally, the effectiveness of the method was validated through simulation experiments using driving test data.
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Stored only when both papers are in the corpus — 3 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.