Enhancing Vehicle Location Prediction Accuracy with Road-Aware Rectification for Multi-Access Edge Computing Applications

In future 6G networks, real-time and accurate vehicular data are key requirements for enhancing the data-driven multi-access edge computing (MEC) applications. Existing estimation techniques to forecast vehicle position aim to meet the real-time data needs but compromise accuracy due to a lack of co...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Asif Mehmood, Afaq Muhammad, Faisal Mehmood, Wang-Cheol Song
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-12-01
Schriftenreihe:	Mathematics
Schlagworte:	multi-access edge computing location prediction road-aware rectification real-time geo-location data internet of vehicles
Online-Zugang:	https://www.mdpi.com/2227-7390/12/24/3980
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