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相关概念视频

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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...
Distance Problem01:29

Distance Problem

When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...

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相关实验视频

Updated: Jun 13, 2026

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

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通过多学科视频数据方法分析道路交通事故.

Haiqing Zhang1, Yongqiang Shang2,3

  • 1College of Information Engineering, Shaanxi A&F Technology University, Yangling, Shaanxi, China.

Frontiers in public health
|December 29, 2025
PubMed
概括

这项研究引入了一个新的AI框架,使用视频分析来理解复杂的交通相互作用并提高道路安全. 数据驱动的方法识别了在城市环境中事故发生之前的风险因素和行为.

关键词:
多代理系统是多代理系统.神经关系网络的神经关系网络.风险建模风险建模交通安全 交通安全 交通安全视频分析 视频分析

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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

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相关实验视频

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科学领域:

  • 城市规划和交通安全分析.
  • 人工智能和机器学习应用.
  • 计算机视觉和时空数据建模.

背景情况:

  • 道路交通事故是一个日益严重的全球性问题,影响公共卫生和城市安全.
  • 在动态的城市交通系统中,复杂的相互作用很难用传统的方法来建模.
  • 需要数据驱动的框架来分析复杂的真实世界交通场景.

研究的目的:

  • 为增强交通安全分析提出一个新的计算框架.
  • 整合视频数据分析与人工智能,以实现多学科的方法.
  • 为应对复杂,异构的交通系统所面临的挑战.

主要方法:

  • 使用先进的视频数据分析和人工智能技术.
  • 使用时空建模,行为分析和环境背景.
  • 利用来自城市十字路口和道路网络的大规模现场视频数据.

主要成果:

  • 提供对风险因素和相互作用模式的详细了解.
  • 识别碰撞和近乎碰撞事件的前体.
  • 展示数据驱动的交通安全方法.

结论:

  • 开发的框架增强了复杂的城市环境中交通安全的分析.
  • 它支持在城市流动中对风险敏感,行为意识的决策.
  • 该方法是为异质的交通系统和人工智能驱动的见解量身定制的.