TY  - Data
T1  - MTrajPlanner Multiple-Trajectory Planning Dataset for AUVs
A1  - yang qiang
PY  - 2026
DA  - 2026-07-09
PB  - National Cryosphere Desert Data Center
AB  - The dataset has a total size of approximately 1.92 MB and consists of 24 plain text (.txt) files. It is built upon real underwater terrain and hydrological environments from the East China Sea and the North Pacific Ocean, containing simulated data of three‑dimensional terrain, seamounts, and suspended obstacles. Specifically, the seamount data record the heights of underwater seamounts; the suspension data store each suspended obstacle as one line with four fields—the X, Y, Z coordinates of its center and its size; and the current data record the superimposed force of ocean currents in a given direction, for example current_x_25.txt denotes the current data along the X‑axis. This dataset can serve as a standard simulation environment for multi‑dimensional trustworthy evaluation of large‑scale multi‑agent systems in dynamic environments, and it is also used for the tasks specified in the project proposal, including dynamic environment multi‑agent game collaboration, quantification of multi‑dimensional performance indicators, optimization of multi‑path parallel planning, and verification of dynamic trustworthy decision‑making. It meets the requirements for efficient and trustworthy assessment of multiple indicators—such as path quality, energy consumption, risk, and diversity—for large‑scale multi‑agent systems in complex dynamic underwater environments. The dataset can be used to validate five major evaluation metrics: path length, navigation energy consumption, navigation risk, path diversity, and comprehensive fitness, thereby supporting the testing, iteration, and effectiveness verification of multimodal ant colony optimization algorithms and niche co‑evolutionary models. In the project outcomes, this dataset provides the core test basis for adaptive optimization in dynamic underwater environments and multi‑dimensional trustworthy performance evaluation. The related algorithms are implemented in C for solving and use MATLAB for result plotting and visualization an
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/a30ee5cf-db55-43bb-a75e-1a105ea44590
ER  -