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Advanced driver-assistance systems (ADAS) may endanger vulnerable road-users due to driver disengagement and unpredictable behaviors at intersections. Future connected and autonomous vehicles (CAVs) face challenges in navigating these complex scenarios safely.

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Area of Science:

  • Road safety
  • Human-computer interaction
  • Transportation engineering

Background:

  • Advanced driver-assistance systems (ADAS) are increasingly common in passenger vehicles.
  • Potential for decreased driver engagement with ADAS may negatively impact road safety, especially for vulnerable road-users.
  • The proliferation of ADAS raises concerns about their effects on traffic dynamics and safety.

Purpose of the Study:

  • To analyze crash data from Great Britain and Australia to identify challenging traffic scenarios.
  • To examine scenarios relevant to the safe maneuvering of future connected and autonomous vehicles (CAVs).
  • To investigate the risks posed by unpredictable road-user behavior at intersections.

Main Methods:

  • Analysis of crash data from two countries: Great Britain and Australia.
  • Identification and examination of prevalent challenging traffic scenarios.
  • Focus on road intersection dynamics and user behaviors.

Main Results:

  • Road intersections are high-risk locations for vulnerable road-user accidents.
  • Unpredictable traffic flow and inconsistent vehicle behavior (e.g., red-light running) are common at intersections.
  • Vulnerable road-users often take unforeseen risks in these environments.

Conclusions:

  • Unpredictable vulnerable road-user behavior at intersections poses significant safety challenges.
  • Lack of understanding regarding CAV responses to intersection rules presents a potential problem.
  • Changes in nonverbal communication between road-users may be further complicated by widespread CAV adoption, increasing risks.