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. 2023 Mar 2;23(5):2751.
doi: 10.3390/s23052751.

Road Risk-Index Analysis Using Satellite Products

Affiliations

Road Risk-Index Analysis Using Satellite Products

Bogdan-Cristian Firuți et al. Sensors (Basel). .

Abstract

This paper proposes a service called intelligent routing using satellite products (IRUS) that can be used in order to analyze risks to the road infrastructure during bad weather conditions, such as heavy rainfall, storms, or floods. By diminishing movement risk, rescuers can arrive safely at their destination. To analyze these routes, the application uses both data provided by Sentinel satellites from the Copernicus program and meteorological data from local weather stations. Moreover, the application uses algorithms to determine the night driving time. From this analysis we obtain a risk index for each road provided by Google Maps API and then we present the path alongside the risk index in a friendly graphic interface. In order to obtain an accurate risk index, the application analyzes both recent and past data (up to 12 months).

Keywords: GIS systems; risk analysis service; satellite images.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Workflow of the back-end application.
Figure 2
Figure 2
Workflow of the application for day/night menu selection.
Figure 3
Figure 3
Workflow of the application for custom menu selection.
Figure 4
Figure 4
Workflow of the application for generation of routes and information.
Figure 5
Figure 5
SNAP processing graph.
Figure 6
Figure 6
Answer times on first request and next requests.
Figure 7
Figure 7
Comparison of answer times for multiple products.
Figure 8
Figure 8
Time difference between HTTP request and memory.

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