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[经管数据集] 飞机速度排序数据集 [推广有奖]

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jkc1111 学生认证  发表于 2024-2-23 19:55:50 |AI写论文

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背景描述

This data set is a data set used for aircraft theoretical velocity ranking. Four sensors are randomly arranged in a <span class="MathJax_SVG" id="MathJax-Element-1-Frame" tabindex="0" data-mathml="1×1" role="presentation" style="-webkit-tap-highlight-color: transparent; box-sizing: border-box; display: inline-block; line-height: normal; word-spacing: normal; overflow-wrap: normal; text-wrap: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; position: relative; -webkit-text-stroke: 0.15px !important;">1×1 square map, and three aircraft will fly over the map coverage area at the same time. The theoretical velocities of the three aircraft are similar, and the velocity of the aircraft will be disturbed during actual flight, causing large fluctuations, so that it is difficult to distinguish the theoretical velocity order of the aircraft flying into the map. The coverage area of the sensor is circular with a fixed radius. The four sensors have a unified detection interval event and will detect the position of the aircraft within the coverage area with unified accuracy.

数据说明
  • case_name is name of simulated case.
  • aircraft{k}_velocity is theoretical velocity of Aircarft {k}.
  • aircraft{k}_path is trajectory data of of Aircarft {k}with format (time, (x, y)).
  • sensor{k}_position is position of sensor {x} with format (x,y).
  • sensor{k}_radius is radius of sensor {x}.
  • sensor{x}_precision is precision of sensor {x}.
数据来源

Simulation

问题描述

The target task is to reason the theoretical velocity ranking of three aircraft through the trajectory data collected by the sensors.

引用bib@data{pcvh-0j22-24,doi = {10.21227/pcvh-0j22},url = {https://dx.doi.org/10.21227/pcvh-0j22},author = {Zhan, Tianxiang},publisher = {IEEE Dataport},title = {Simulated aircraft trajectory for theoretical velocity ranking},year = {2024} } 1.png
  • 数据格式.csv
  • 文件大小45.1 MB
  • 论文:《Random Graph Set and Evidence Pattern Reasoning Model》的仿真数据
2.png
case.zip (12.2 MB, 需要: RMB 10 元) 本附件包括:
  • case.csv

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关键词:数据集 Fluctuations Theoretical distinguish Fluctuation

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