Intelligent Infrastructure for Traffic Monitoring Based on Deep Learning and Edge Computing
In the field of traffic management and control systems, we are witnessing a symbiotic evolution, where intelligent infrastructure is progressively collaborating with smart vehicles to produce benefits for traffic monitoring and security, by rapidly identifying hazardous behaviours. This exponential...
Saved in:
| Main Authors: | Jaime Villa, Franz García, Rubén Jover, Ventura Martínez, José M. Armingol |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/3679014 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Edge Computing Cybersecurity Standards: Protecting Infrastructure and Applications
by: Dario Sabella, et al.
Published: (2024-01-01) -
Energy-Aware Edge Infrastructure Traffic Management Using Programmable Data Planes in 5G and Beyond
by: Jorge Andrés Brito, et al.
Published: (2025-04-01) -
Edge intelligence:a new nexus of edge computing and artificial intelligence
by: Zhi ZHOU, et al.
Published: (2019-03-01) -
Integration of deep learning with edge computing on progression of societal innovation in smart city infrastructure: A sustainability perspective
by: Yasir Afaq, et al.
Published: (2025-06-01) -
Application of blockchain in urban rail traffic edge computing network
by: Gaochang XIE, et al.
Published: (2021-10-01)