Multimodal Feature-Assisted Continuous Driver Behavior Analysis and Solving for Edge-Enabled Internet of Connected Vehicles Using Deep Learning

Multimodal Feature-Assisted Continuous Driver Behavior Analysis and Solving for Edge-Enabled Internet of Connected Vehicles Using Deep Learning

The emerging technology of internet of connected vehicles (IoCV) introduced many new solutions for accident prevention and traffic safety by monitoring the behavior of drivers. In addition, monitoring drivers’ behavior to reduce accidents has attracted considerable attention from industry and academ...

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Bibliographic Details
Main Authors: Omar Aboulola, Mashael Khayyat, Basma Al-Harbi, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Heba Fasihuddin, Majid H. Alsulami
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
internet of connected vehicles (IoCV)
edge node
driver behavior analysis
hidden Markov model (HMM)
tri-agent-based soft actor critic (TA-SAC)
recommendations
Online Access:https://www.mdpi.com/2076-3417/11/21/10462

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https://www.mdpi.com/2076-3417/11/21/10462

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