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Motion Shield: An Automatic Notifications System for Vehicular Communications.

Petros Balios1, Philotas Kyriakidis1, Stelios Zimeras2

  • 1Knowledge Society Ltd., 115 23 Athens, Greece.

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|March 26, 2022
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Summary

Motion Shield is an automatic crash notification system that enhances road safety. It uses mobile phone data to predict accidents and alert users and emergency services, improving transportation safety.

Keywords:
accident predictionautomatic crash notificationdecision support systemdriving safetymobile device

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Area of Science:

  • Transportation Safety
  • Mobile Sensing Technology
  • Public Safety Systems

Background:

  • Road safety remains a critical concern, with accidents causing significant loss of life and property.
  • Existing safety systems often rely on manual reporting or are limited in their predictive capabilities.
  • The proliferation of smartphones presents an opportunity for leveraging ubiquitous sensing for enhanced safety applications.

Purpose of the Study:

  • To introduce Motion Shield, an automatic crash notification system designed to improve user safety during transportation.
  • To proactively identify and mitigate risks associated with vehicle movement and potential accidents.
  • To enhance the efficiency of emergency response through timely and accurate alerts.

Main Methods:

  • Utilized mobile phone sensors, geolocation, weather data, and historical accident data for comprehensive risk assessment.
  • Developed a decision support system to dynamically calculate mobility risk and driving behavior.
  • Implemented a system for proactive, personalized notifications to users and public safety answering points (PSAP).

Main Results:

  • The system effectively processes diverse data streams to predict potential accidents.
  • Motion Shield dynamically assesses mobility risk and driving behavior in real-time.
  • Personalized alerts are generated for users and PSAPs, enabling preventive action.

Conclusions:

  • Motion Shield offers a novel approach to automatic crash notification, significantly enhancing road safety.
  • The integration of multiple data sources and a decision support system allows for effective accident prediction and prevention.
  • This technology has the potential to reduce accident severity and improve emergency response times.