A Weight Assignment-Enhanced Convolutional Neural Network (WACNN) for Freight Volume Prediction of Sea–Rail Intermodal Container Systems
In order to integrate the use of transportation resources, develop a reasonable sea–rail intermodal container transportation plan, and achieve cost reduction and efficiency improvement of the multimodal transportation system, a method for predicting the daily freight volume of sea–rail intermodal tr...
Saved in:
| Main Authors: | Yuhonghao Wang, Wenxin Li, Xingmin Qi, Yinzhang Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/6/319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Joint Allocation of Shared Yard Space and Internal Trucks in Sea–Rail Intermodal Container Terminals
by: Xiaohan Wang, et al.
Published: (2025-05-01) -
GOOD PRACTICES IN THE CARGO PREPARATION PROCESS IN INTERMODAL TRANSPORT
by: Jan WARCZEK, et al.
Published: (2022-06-01) -
Collaborative Scheduling of Yard Cranes, External Trucks, and Rail-Mounted Gantry Cranes for Sea–Rail Intermodal Containers Under Port–Railway Separation Mode
by: Xuhui Yu, et al.
Published: (2025-06-01) -
POTENTIALS OF FRANJO TUDMAN AIRPORT IN THE DEVELOPMENT OF INTERMODAL TRANSPORT
by: Jure ŠARIĆ, et al.
Published: (2023-06-01) -
Investigation of the Effect of Rail Passenger Transport on Air Passenger Transport in Intermodal Transport: Samsun and Trabzon Example
by: Süleyman Köse
Published: (2021-10-01)