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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.8K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.8K
Statgraphics01:10

Statgraphics

448
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
448

You might also read

Related Articles

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

Sort by
Same author

Multicenter evaluation of soluble CD38: neutralizing anti-CD38 pan-reactivity to enable alloantibody detection.

Blood transfusion = Trasfusione del sangue·2025
Same author

Anesthesia for pregnant patients with symptomatic neurological disease: 13 years' experience from a tertiary care center.

BMC anesthesiology·2025
Same author

Injury severity prediction of cyclist crashes using random forests and random parameters logit models.

Accident; analysis and prevention·2023
Same author

Systematic literature review of 10 years of cyclist safety research.

Accident; analysis and prevention·2023
Same author

Noninvasive hypotension Prediction Index versus continuous blood pressure monitoring and intraoperative hypotension.

Minerva anestesiologica·2022
Same author

Safety Index for evaluation of urban roundabouts.

Accident; analysis and prevention·2022

Related Experiment Video

Updated: Mar 7, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.9K

Development and evaluation of a web-based software for crash data collection, processing and analysis.

Alfonso Montella1, Salvatore Chiaradonna1, Giorgio Criscuolo1

  • 1University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, via Claudio 21, 80125 Naples, Italy.

Accident; Analysis and Prevention
|February 10, 2017
PubMed
Summary

Developing new software for crash data collection significantly improves road safety management. This system enhances data accuracy, completeness, and analysis efficiency, reducing police errors and officer workload.

Keywords:
Crash dataCrash dynamicsData analysisData collectionHighway safetyWeb-based software

More Related Videos

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

16.1K
Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
07:28

Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

Published on: November 28, 2025

341

Related Experiment Videos

Last Updated: Mar 7, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.9K
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

16.1K
Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
07:28

Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

Published on: November 28, 2025

341

Area of Science:

  • Road Safety Engineering
  • Information Systems
  • Data Management

Background:

  • Effective road safety management relies on high-quality crash databases.
  • Existing crash data systems lack uniformity and present significant drawbacks.
  • Modern technologies offer potential for improving crash data collection and analysis.

Purpose of the Study:

  • To develop and evaluate a web-based, platform-independent software for crash data collection, processing, and analysis.
  • To address limitations in existing crash databases and improve decision-making in road safety.
  • To assist police officers with guided and automated crash report drafting.

Main Methods:

  • Critical review of existing Australasian, EU, and U.S. crash databases and software.
  • Continuous consultation with stakeholders throughout the development process.
  • Evaluation of the software in Vico Equense, Italy, comparing pre- and post-implementation data.

Main Results:

  • Increased data completeness from 82 to 268 variables (227% increase).
  • Reduced processing and analysis time by 69% in the office.
  • Significantly reduced police officer errors in data collection and evaluation.

Conclusions:

  • The developed software offers substantial advantages in crash data management.
  • Standardization of data collection leads to faster and more consistent analysis.
  • The software demonstrates high acceptance among police officers, improving overall road safety data quality.