DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS
This paper compares various artificial intelligence techniques applied to intelligent traffic systems for traffic light optimization. The use of Deep Learning algorithms for updating traffic light timings achieves superior results compared to the classical fixed-time approach. The traffic network is...
Saved in:
| Main Authors: | Marius TEME, Catalin DIMON |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editura Academiei Oamenilor de Știință din România
2025-07-01
|
| Series: | Annals: Series on engineering sciences (Academy of Romanian Scientists) |
| Subjects: | |
| Online Access: | https://aos.ro/doi/informatics-2025-1-5-processes-and-installations-for-the-preparation-of-breathing-gas-mixtures |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment
by: Marco Guerrieri, et al.
Published: (2025-01-01) -
Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning
by: Zahra Fereidooni, et al.
Published: (2025-01-01) -
Assessment of network traffic congestion through Traffic Congestability Value (TCV): a new index
by: Patel Nilanchal, et al.
Published: (2015-12-01) -
RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT
by: Nguyen Thi Luong
Published: (2021-10-01) -
Real-Time Traffic Data Analysis and Deep Learning-based Traffic Volume Classification for Congestion Mitigation at Urban Intersections
by: Omar Abdullah Hasan, et al.
Published: (2025-03-01)