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Road Risk-Index Analysis Using Satellite Products.

Bogdan-Cristian Firuți1, Răzvan-Ștefan Păduraru1, Cătălin Negru1

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Summary
This summary is machine-generated.

This study introduces Intelligent Routing Using Satellite Products (IRUS) to assess road risks during severe weather. IRUS enhances safety for emergency responders by providing optimized, low-risk routes.

Keywords:
GIS systemsrisk analysis servicesatellite images

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Area of Science:

  • Environmental Science
  • Geospatial Analysis
  • Civil Engineering

Background:

  • Road infrastructure faces significant risks from adverse weather like heavy rainfall, storms, and floods.
  • Ensuring safe and timely access for emergency services during such events is critical.

Purpose of the Study:

  • To propose and evaluate a novel service, Intelligent Routing Using Satellite Products (IRUS), for analyzing road infrastructure risks.
  • To enhance the safety and efficiency of emergency response routes during hazardous weather conditions.

Main Methods:

  • Utilizing Sentinel satellite data from the Copernicus program and local meteorological station data.
  • Employing algorithms to calculate night driving times and integrating Google Maps API for route analysis.
  • Analyzing historical (up to 12 months) and recent data to generate a comprehensive road risk index.

Main Results:

  • Development of a risk index for road segments based on weather and driving conditions.
  • Identification of safer routes for emergency responders, minimizing movement risks.
  • Presentation of analyzed routes and risk indices through a user-friendly graphical interface.

Conclusions:

  • IRUS effectively analyzes road risks during adverse weather, improving situational awareness.
  • The service facilitates safer navigation for emergency personnel, potentially saving lives.
  • Integration of satellite and meteorological data provides a robust tool for infrastructure risk assessment.