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相关概念视频

Manipulation and Analysis01:21

Manipulation and Analysis

23
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...
23
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

47
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...
47
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

64
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
64
Levels of Use of a GIS01:29

Levels of Use of a GIS

46
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...
46
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

41
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
41
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
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...
27

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相关实验视频

Updated: Jun 16, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

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使用大规模几何特征进行网络级崩风险分析.

Shi Qiu1, Hanzhang Ge2, Zheng Li2

  • 1School of Civil Engineering, Central South University, Changsha 410075, China; MOE Key Laboratory of Engineering Structures of Heavy-haul Railway, Changsha 410075, China; Intelligent Monitoring Research Center of Rail Transit Infrastructure, Changsha 410075, China.

Accident; analysis and prevention
|August 17, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种使用开源数据和先进机器学习识别道路事故风险的新方法. HHO-XGBoost模型有效地分析了道路几何形状,以改善交通安全预测.

关键词:
发生事故的风险.组合学习学习 组合学习几何特征 几何特征是指几何特征.在HHO-XGBoost中使用.开源数据是开源数据.

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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相关实验视频

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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科学领域:

  • 运输工程 运输工程
  • 道路交通安全 道路交通安全
  • 机器学习应用 机器学习应用

背景情况:

  • 道路交通事故带来了重大的社会风险和经济损失.
  • 鉴定事故的原因是复杂的,因为交互因素,如司机,车辆,道路和环境.
  • 大规模崩预测在数据收集和成本方面面临挑战.

研究的目的:

  • 利用开源数据开发一种具有成本效益的方法来识别大规模道路网络事故风险.
  • 为了利用道路几何形状,特别是水平曲线 (H曲线) 和垂直曲线 (V曲线),进行碰撞风险评估.
  • 引入一个优化的机器学习模型,用于增强碰撞预测.

主要方法:

  • 从水平和垂直的道路曲线中提取特征.
  • 哈里斯·霍克斯优化 (HHO) 算法的开发与XGBoost模型 (HHO-XGBoost) 的结合.
  • 为模型培训和验证创建专门的道路几何碰撞风险数据集.

主要成果:

  • 在HHO-XGBoost模型的适应性确定了最佳的XGBoost超参数.
  • 在使用开发的模型预测碰撞风险方面取得了有利的结果.
  • 对于大型道路网络,成功完成了"区域-道路-部分"的分层风险分析.

结论:

  • 拟议的方法为大规模道路网络的撞车风险识别提供了一种可行的方法.
  • 该HHO-XGBoost模型在分析道路几何学上安全性方面表现出有效性.
  • 该研究提供了一个3D道路几何数据库,并对集成学习模型的群体智能提供了洞察力.