CrossRef Open Access 2022 1 sitasi

Prevent Road Accident using Machine to Machine (M2M) Learning

Taibu

Abstrak

The number of road casualties is steadily rising, while the age of driverless vehicles on the road is rapidly coming. Machine-to-machine (M2M) communication and the use of Big Data created by M2M communication have enormous promise for improving road safety. A training dataset-less Deep Learning strategy that uses only a safety model and optimizes it sequentially through M2M learning over time can prevent a lack of suitable Knowledge Base while also improving the capacity to handle unpredictable scenarios. The article outlines an M2M learning model based on in-vehicle sensors that can be used to reduce traffic accidents.

Penulis (1)

Taibu

Format Sitasi

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Taibu (2022). Prevent Road Accident using Machine to Machine (M2M) Learning. https://doi.org/10.31730/osf.io/f39x8

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 1×
Sumber Database: CrossRef
DOI: 10.31730/osf.io/f39x8
Akses: Open Access ✓