Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sign Test for Nominal Data01:12

Sign Test for Nominal Data

413
The sign test is a nonparametric method used to evaluate hypotheses about the median of a single sample or to compare the medians of two related samples. The sign test is particularly useful when dealing with nominal data, which includes distinct categories without an inherent order, such as names, labels, and preferences. Nominal data restricts statistical analysis to evaluating population proportions rather than mean or median values that require continuous data.
For example, consider a...
413
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

278
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...
278
Sign Convention01:30

Sign Convention

3.5K
When analyzing a beam subjected to various loads, it is crucial to understand the internal forces and moments generated within the structure. These internal forces can be broadly classified into normal forces, shear forces, and bending moments. To determine these forces and moments, we use the method of sections and apply a specific sign convention based on their direction and the side of the section being analyzed.
The normal force acts perpendicular to the beam's cross-section and can...
3.5K
Signs of Puberty01:27

Signs of Puberty

1.5K
Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
1.5K
Introduction to the Sign Test01:10

Introduction to the Sign Test

1.3K
The sign test is an important tool in nonparametric statistics, offering a straightforward yet effective method for analyzing matched pairs, nominal data, or hypotheses concerning the median of a population. It transforms data points into positive or negative signs, avoiding the need for assumptions about data distribution and instead focusing on the direction of change. It is particularly valuable when data does not conform to the normal distribution requirements of many parametric tests. For...
1.3K
Introduction to Vital Signs01:25

Introduction to Vital Signs

8.6K
Vital signs are physiological measurements that help key into the status of the body's essential functions. These include body temperature, pulse rate, respiratory rate, and blood pressure, commonly abbreviated as T, P, R, and BP. Some healthcare settings also consider oxygen saturation (SpO2) and, in specific contexts, pain and level of consciousness as additional vital signs.
Vital signs help healthcare professionals assess an individual's well-being and detect any functional changes...
8.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Population Genomic Analysis and De Novo Assembly Reveal the Origin of Weedy Rice as an Evolutionary Game.

Molecular plant·2019
Same author

Comment to "Deep vein thrombosis induced by vasculitis in the Behçet's syndrome".

Chinese medical journal·2019
Same author

Causes and Clinical Outcomes of Patients Who Are Ineligible for Transcatheter Mitral Valve Replacement.

JACC. Cardiovascular interventions·2019
Same author

Muscleblind‑like 1 destabilizes Snail mRNA and suppresses the metastasis of colorectal cancer cells via the Snail/E‑cadherin axis.

International journal of oncology·2019
Same author

Notes on the Dianous bimaculatus complex with description of a new species from China (Coleoptera, Staphylinidae).

Zootaxa·2019
Same author

Staged reconstructive treatment for extensive irregular cicatricial alopecia after burn.

Medicine·2018
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K

Optimizing location of variable message signs using GPS probe vehicle data.

Lingling Fan1, Liang Tang2, Shaokuan Chen1

  • 1MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, P. R. China.

Plos One
|July 7, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new model for optimal Variable Message Sign (VMS) placement, maximizing traffic utility and coverage while minimizing redundancy. The approach uses GPS data for effective VMS deployment in road networks.

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K
Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods
10:46

Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods

Published on: May 2, 2016

7.3K

Related Experiment Videos

Last Updated: Feb 8, 2026

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K
Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods
10:46

Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods

Published on: May 2, 2016

7.3K

Area of Science:

  • Transportation Engineering
  • Operations Research
  • Data Science

Background:

  • Variable Message Signs (VMS) are crucial for traffic management.
  • Current VMS location allocation often relies on subjective judgment.
  • Optimizing VMS placement is essential for efficient traffic guidance.

Purpose of the Study:

  • To develop a multi-objective optimization model for VMS location allocation.
  • To maximize traffic guidance utility and benefited links.
  • To minimize information redundancy between VMSs.

Main Methods:

  • Defined traffic guidance utility using GPS data and road network topology.
  • Quantified benefited links and information redundancy.
  • Developed a heuristic search algorithm to solve the optimization model.
  • Utilized passively collected GPS data from probe vehicles (taxis).

Main Results:

  • The model effectively balances maximizing utility and coverage with minimizing redundancy.
  • A heuristic algorithm successfully solved the optimization problem.
  • Determined the saturated number of VMS for a given road network.
  • Optimized the VMS installation project schedule.

Conclusions:

  • The proposed multi-objective optimization model is effective for VMS location allocation.
  • GPS data offers a data-driven alternative to subjective VMS placement.
  • The approach is applicable to both urban and highway road networks.