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Road Risk-Index Analysis Using Satellite Products
Bogdan-Cristian Firuți1, Răzvan-Ștefan Păduraru1, Cătălin Negru1
1Faculty of Automatic Control and Computers, University Politehnica of Bucharest, 060042 Bucharest, Romania.
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.
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.
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