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Smart Roads for Autonomous Accident Detection and Warnings.

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  • 1Information and Communication Engineering Department, Yeungnam University, Gyeongsan 38541, Korea.

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Summary

This study introduces an accident alert light and sound (AALS) system for smart roads to detect traffic incidents. The roadside system enhances safety by alerting vehicles, reducing multiple-vehicle collisions and fatalities.

Keywords:
accidentautonomousroadsmart roadvehicle

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Area of Science:

  • Road safety engineering
  • Intelligent transportation systems
  • Sensor networks

Background:

  • Increasing vehicle density elevates accident risk, particularly in adverse weather conditions.
  • Lack of timely accident information for approaching vehicles can lead to secondary accidents, such as multiple-vehicle collisions (MVCs).
  • Delayed notification to emergency services can increase fatalities due to delayed first aid.

Purpose of the Study:

  • To propose an accident alert light and sound (AALS) system for automatic accident detection and alerts.
  • To enhance road safety by reducing the risk of secondary accidents and fatalities.
  • To develop smart roads (SRs) with roadside-installed systems, negating the need for vehicle modifications.

Main Methods:

  • Implementation of an accident alert light and sound (AALS) system on roadside infrastructure.
  • Utilizing various sensors integrated into smart roads (SRs) for accident detection.
  • Employing pre-saved locations to expedite accident site identification, bypassing GPS dependency.

Main Results:

  • The proposed AALS system effectively detects accidents on smart roads.
  • Roadside installation ensures compatibility with both non-equipped vehicles (nEVs) and electric vehicles (EVs).
  • The system reduces the likelihood of multiple-vehicle collisions (MVCs) by alerting approaching drivers.

Conclusions:

  • The AALS system offers a viable solution for real-time accident detection and alerting.
  • Smart roads equipped with AALS contribute to enhanced traffic safety and reduced accident severity.
  • This approach minimizes human fatalities by providing timely warnings and facilitating quicker emergency responses.