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Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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Safety assessment on pedestrian crossing environments using MLS data.

Mario Soilán1, Belén Riveiro1, Ana Sánchez-Rodríguez2

  • 1Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, 36310, Spain.

Accident; Analysis and Prevention
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Summary

This study introduces a method to assess pedestrian crossing safety using 3D data from Mobile Mapping Systems (MMS). The system effectively evaluates road safety indicators and traffic signal visibility in urban areas.

Keywords:
ClassificationGeographic information systemMobile laser scanningPoint cloud processingSafety assessment

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Area of Science:

  • Urban planning and infrastructure analysis
  • Geospatial data processing
  • Road safety engineering

Background:

  • Ensuring road user safety is crucial for urban infrastructure management.
  • Pedestrian crossings are critical safety points requiring detailed analysis.
  • Existing methods may lack comprehensive geometric and radiometric assessment.

Purpose of the Study:

  • To present a methodology for evaluating pedestrian crossing safety indicators.
  • To utilize 3D point clouds from Mobile Mapping Systems (MMS) for safety assessment.
  • To integrate safety data into Geographic Information System (GIS) for city management.

Main Methods:

  • Extraction of geometric and radiometric data from MMS 3D point clouds.
  • Development of four modules to analyze crossing accessibility, traffic control elements, and visibility.
  • Testing the methodology on approximately 30 pedestrian crossings in diverse urban settings.

Main Results:

  • Mobile Mapping Systems (MMS) prove effective for assessing urban geometric safety conditions.
  • High accuracy achieved in traffic light classification, with a global F-score near 95%.
  • The methodology successfully identifies and analyzes key safety indicators at pedestrian crossings.

Conclusions:

  • The proposed methodology offers a robust approach to urban pedestrian crossing safety evaluation.
  • MMS data provides valuable insights for infrastructure maintenance and city management.
  • The system demonstrates high potential for improving road safety through data-driven analysis.