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Related Concept Videos

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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...
Errors in Global Positioning System01:26

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
Field Application of Global Positioning System01:28

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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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Updated: May 19, 2026

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

Intelligent geocoding system to locate traffic crashes.

Xiao Qin1, Steven Parker, Yi Liu

  • 1Department of Civil and Environmental Engineering, South Dakota State University, Brookings, SD 57007, United States. Xiao.Qin@sdstate.edu

Accident; Analysis and Prevention
|August 28, 2012
PubMed
Summary
This summary is machine-generated.

State agencies face challenges geocoding all crash data. The new Crash-Mapping Automation Tool (C-MAT) automatically maps 83% of crashes, integrating crucial data for highway safety analysis.

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Last Updated: May 19, 2026

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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Published on: January 20, 2023

Area of Science:

  • Transportation Engineering
  • Geographic Information Systems (GIS)
  • Data Management

Background:

  • Federal mandates require comprehensive crash data collection from disparate systems.
  • State Departments of Transportation (DOTs) struggle with geocoding off-state route crashes due to resource limitations.
  • Developing integrated GIS maps for all crash types is complex and costly.

Purpose of the Study:

  • To introduce an automated process for mapping all crashes, including off-state routes.
  • To improve the efficiency and accuracy of crash data geocoding.
  • To lay the foundation for integrated crash analysis and highway safety improvements.

Main Methods:

  • Development of the Crash-Mapping Automation Tool (C-MAT) algorithm.
  • Translating police report location data into geospatial map coordinates.
  • Achieving an 83% automated crash mapping rate.

Main Results:

  • Successful implementation of an automated crash mapping process.
  • Significant improvement in geocoding rates for all crash types.
  • Enabling the association of mapped crashes with roadway inventory and traffic data.

Conclusions:

  • C-MAT offers a viable solution to the challenges of comprehensive crash data mapping.
  • Automated mapping facilitates efficient and effective highway crash analysis.
  • Integrated crash data is essential for proactive highway safety strategies.