book chapter · Advances in Science, Technology & Innovation/Advances in science, technology & innovation

Driver Drowsiness Detection Using Deep Learning and VANET Integration: A Comprehensive Approach for Enhancing Road Safety in Morocco

2026Abdelmalek Essaâdi University

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

Sleep and Work-Related Fatigue
IoT and GPS-based Vehicle Safety Systems
Internet of Things and AI

Sustainable Development Goals

13Climate Action

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1007/978-3-031-97825-8_88

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.