Enhancing vehicle-to-vehicle communication in urban scenarios through artificial intelligence

In this work, two contributions are presented to improve vehicular communications through artificial intelligence models. The first contribution analyzes the impact of synthetic data generation techniques on a dataset built from routing metrics, combining OpenStreetMap, SUMO, OMNeT++, and Veins. Sin...

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Hlavní autor: Carlosama Perachimba, Luis David (author)
Médium: bachelorThesis
Vydáno: 2026
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On-line přístup:https://repositorio.yachaytech.edu.ec/handle/123456789/1049
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