Efficient Road Traffic Video Congestion Classification Based on the Multi-Head Self-Attention Vision Transformer Model

Efficient Road Traffic Video Congestion Classification Based on the Multi-Head Self-Attention Vision Transformer Model

Due to rapid population growth, traffic congestion has become one of the major issues in urban areas. The utilization of technology may help to address this issue. This paper proposes a new Multi-head Self-attention Vision Transformer (MSViT) based macroscopic approach, for road traffic congestion c...

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Bibliographic Details
Main Authors: Khalladi Sofiane Abdelkrim, Ouessai Asmâa, Benamara Nadir Kamel, Keche Mokhtar
Format: Article
Language:English
Published: Sciendo 2024-02-01
Series:Transport and Telecommunication
Subjects:
road traffic classification
macroscopic approach
vision transformers
multi-head self-attention
deep learning
Online Access:https://doi.org/10.2478/ttj-2024-0003

Internet

https://doi.org/10.2478/ttj-2024-0003

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