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Road safety with SVRAI

Detect near-accident areas to improve user safety before accidents occur.

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This innovative system is the result of 10 years of research by Cerema and Gustave Eiffel University.

SVRAI
cerema
Université Gustave Eiffel
Detect risky driving situations with the SVRAI system: an innovative approach designed to identify road infrastructures likely to give rise to dangerous driving situations. These incidents are detected by a specially developed application and Event Data Recorders installed in vehicles. These systems automatically detect any excessive stress on the vehicle: sudden braking, cornering on the verge of losing control, etc. The data collected will give us a better understanding of the network and provide us with:
  • The precise position of each incident
  • A set of information on the driving conditions preceding and following the incident:
    • Speed, longitudinal and transverse acceleration of the vehicle, lateral offset
    • Contextual video sequence
    • Driver actions (indicators, brake pedal pressure, etc.)
  • The roads used by vehicles

Phase 1: Collect

By fitting vehicles with sensors to record journeys and driving incidents.

The data is anonymised before being sent to and processed on our servers.

SVRAI collecte

Phase 2: View

The web interface allows you to view :
  • Location of incidents reported;
  • Speed and acceleration curves;
  • A 45-second video providing a detailed analysis of the driving situation
SVRAI cartographie

Phase 3: Analyse

Carry out a detailed analysis of the incident area to draw up a development plan.

Road safety

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