A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management
Managing the integration of Electronic Toll Collection (ETC) and Manual Toll Collection (MTC) systems is complex, especially during peak hours due to high traffic volumes. While ETC is more efficient, an inappropriate proportion of ETC lanes can increase congestion, making optimal ETC lane selection...
Saved in:
| Main Authors: | Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10820321/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Cooperative Quality Weight Spectrum Sensing for Mitigating Byzantine Attacks in Cognitive Radio
by: Kanabadee Srisomboon, et al.
Published: (2025-01-01) -
Service levels of highway toll plazas: the influence of factors on manual customer service
by: Josiane Palma Lima, et al.
Published: (2019-11-01) -
Risk Assessment Approach of Toll Road Operator
by: A. Yu. Talavirya, et al.
Published: (2021-07-01) -
Assessment of Changes in Toll Fares in Conditions of Increased Traffic Load
by: A. U. Talavirya, et al.
Published: (2021-10-01) -
Study on the length of speed change lanes at the entrance and exit of two-way ten-lane expressways
by: Ling Chen, et al.
Published: (2025-07-01)