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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...

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相关实验视频

Updated: Jun 28, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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探索混合模型,以使用实时空间Delphi和GANs识别活跃移动路径的位置.

Yuri Calleo1, Nadia Giuffrida2, Francesco Pilla1

  • 1University College Dublin, Dublin, Ireland.

European transport research review
|November 11, 2024
PubMed
概括

本研究介绍了一种使用实时空间Delphi和生成对抗网络 (GANs) 的混合模型,以实现自行车道和行人区的最佳城市规划. 该方法有助于利益相关者可视化和评估拟议的交通基础设施变化.

科学领域:

  • 城市规划和空间分析
  • 人工智能在城市发展中的作用
  • 可持续的交通基础设施

背景情况:

  • 空间规划是复杂的,需要多学科的方法来实现有效的城市发展.
  • 优先考虑自行车道,车站和行人区可以提高城市的可持续性,公共卫生和安全.
  • 当前的规划方法可能缺乏可视化拟议干预措施的现实影响的工具.

研究的目的:

  • 提出并验证一种混合模型,用于确定自行车道,自行车站和行人区的最佳位置.
  • 将专家的共识与人工智能驱动的可视化整合在一起,以提高空间规划.
  • 支持城市交通基础设施发展的决策.

主要方法:

  • 这是一个混合模型,结合了实时空间Delphi (RTSD) 和生成对抗网络 (GAN).
  • 通过实时反和可视化,RTSD促进专家就最佳位置达成共识.
  • 基于专家的判断,GANs生成了拟议的城市干预措施的视觉表示.

主要成果:

  • 混合模型有效地确定了自行车道,车站和行人区的最佳位置.
  • 在都柏林的应用证明了该模型在可视化拟议变化的影响方面的实用性.
  • 利益相关者,政策制定者和公民可以更好地理解和评估拟议的城市干预措施.
关键词:
人工智能的人工智能是人工智能.生成性的对抗性网络.实时空间Delphi实时空间空间规划 空间规划 空间规划

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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相关实验视频

Last Updated: Jun 28, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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结论:

  • 拟议的混合模型为复杂的空间规划挑战提供了一种新且有效的方法.
  • 将专家知识与人工智能可视化工具相结合,可以改善可持续城市基础设施的规划和实施.
  • 这种方法增强了合作决策和公众参与城市发展项目.