Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

100
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...
100
Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

177
Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
177
Relative Risk01:12

Relative Risk

340
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
340
Determination of Expected Frequency01:08

Determination of Expected Frequency

2.2K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.2K
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

600
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
600
Unusual Results01:16

Unusual Results

3.3K
Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ  from the mean, μ  is considered unusual.
Maximum unusual value =...
3.3K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

The interaction between chronic hepatitis B (CHB) and Metabolic dysfunction-associated steatotic liver disease (MASLD) in a diverse central London population.

medRxiv : the preprint server for health sciences·2026
Same author

Viral hepatitis and liver disease in the Mongolian community in London ('MoLo'): A mixed methods study protocol to investigate the epidemiology and burden of disease to inform clinical and public health interventions.

Wellcome open research·2026
Same author

Preserved CD4 <sup>+</sup> T cell helper function and coordinated antiviral immunity in people with HBV/HIV co-infection on long-term therapy.

bioRxiv : the preprint server for biology·2026
Same author

Prevalence of elder abuse among community-dwelling older adults in South Asia: a systematic review and meta-analysis.

BMC public health·2026
Same author

Subcutaneous drug delivery of high concentration antibody products - part 2: formulation, device options, and clinical bridging strategies for patient-centric commercial presentations.

mAbs·2026
Same author

A systematic review of qualitative research on HIV and food insecurity in high-income countries.

AIDS (London, England)·2026

関連する実験動画

Updated: Sep 9, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

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

Published on: February 1, 2020

20.5K

混雑した交通における回道の安全性評価のためのコプルベースの多変量極限値フレームワーク

Abhijnan Maji1, Indrajit Ghosh1

  • 1Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India.

Accident; analysis and prevention
|August 28, 2025
PubMed
まとめ
この要約は機械生成です。

この研究は ドローンの映像と高度なモデリングを用いて 交通衝突を分析することで 発展途上国のラウンドアバウトの安全性を向上させるための新しい枠組みを紹介しています 標的を絞った安全対策の指針として,高リスク地域や紛争の種類を特定しています.

キーワード:
紛争 の 深刻さ極端な価値理論 (EVT)異質なトラフィック多変量コプラ交通衝突技術 (TCT)UAVの軌道のデータ

さらに関連する動画

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

関連する実験動画

Last Updated: Sep 9, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

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

Published on: February 1, 2020

20.5K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

科学分野:

  • 輸送工学
  • 交通安全分析
  • データ駆動モデリング

背景:

  • 低所得国や中所得国のラウンドアバウトは,非レーンベースの交通と混雑した交通条件のためにユニークな安全課題に直面しています.
  • 従来の衝突分析では,これらの複雑な環境に対する 積極的な安全対策を特定することが限られている.

研究 の 目的:

  • 標識のないラウンドアバウトで,安全を重視する衝突の出来事を積極的に特定し,分類するためのデータベースの枠組みを開発し,検証する.
  • 高解像度ビデオ分析,高度な統計モデリング,機械学習を統合して,包括的な安全評価を行う.

主な方法:

  • ドローンで記録されたビデオを使用して,車両の軌道を抽出し,代替安全評価モデル (SSAM) を使用して,衝突までの時間 (TTC) と侵入後の時間 (PET) などの代替安全対策 (SSM) を計算しました.
  • 多変量極限値理論 (EVT) -ピーク・オーバー・スリーホールド (POT) モデリングをガンベル・フガール・コプルで適用し,SSMの共同超過を分析し,文脈特有のスリーホールドを確立した.
  • 空間的な紛争のマッピングと潜在的プロファイルの分析のために確率的クラスタリング (ガウス混合モデル) を採用し,紛争を重度によって階層化しました.

主要な成果:

  • 特定された主要な衝突型は,車線の交差 (43%),後方 (38%) と交差 (19%) で,特定のホットスポットは,アプローチの脚,織り込みゾーン,歩行者横断です.
  • 小規模 (29.7%) から重大な (7.6%) までの5つのレベルに分けられ,優先度の高い安全対策の基礎となる.
  • EVT-POTモデルは,SSM間の尾部依存性を効果的に捉え,共同リスク評価の適性を実証しました.

結論:

  • 開発されたフレームワークは,様々な交通状況でラウンドアバウトの安全性を高めるためのスケーラブルで積極的なアプローチを提供します.
  • 高リスク地域を特定し,ターゲットを絞った安全対策を実施し,反応的,衝突ベースの方法を超越します.
  • この研究は,特に資源の限られた環境で,ラウンドアバウトの設計と運用を改善するための貴重な洞察を提供します.