Trajectory Mining and Routing: A Cross-Sectoral Approach
Trajectory data holds pivotal importance in the shipping industry and transcend their significance in various domains, including transportation, health care, tourism, surveillance, and security. In the maritime domain, improved predictions for estimated time of arrival (ETA) and optimal recommendati...
Main Authors: | Dimitrios Kaklis, Ioannis Kontopoulos, Iraklis Varlamis, Ioannis Z. Emiris, Takis Varelas |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/12/1/157 |
Similar Items
-
Route Recommendation Method Based on Frequent Trajectory Sequence Pattern Mining
by: Zongtao DUAN, et al.
Published: (2022-03-01) -
AIS-Enabled Weather Routing for Cargo Loss Prevention
by: Kalliopi Spyrou-Sioula, et al.
Published: (2022-11-01) -
Genetic Programming to Optimize 3D Trajectories
by: André Kotze, et al.
Published: (2024-08-01) -
Understanding children's cycling route selection through spatial trajectory data mining
by: Han Bao, et al.
Published: (2023-07-01) -
Enabling digital twins in the maritime sector through the lens of AI and industry 4.0
by: Dimitrios Kaklis, et al.
Published: (2023-11-01)