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<p>Although it may seem intuitive that intersection-related driving conditions could influence a driver’s heart rate (HR)—a key indicator of stress and cognitive load—prior research exploring this assumption has been limited. To address this gap, this paper investigates the physiological impact of intersections on a driver’s HR. By utilizing video and HR data collected from the Honda Research Institute (HRI), we apply E-Tests to assess the means and variance of Poisson distributions relating to HR events occurring both within and outside of intersections. Our analysis supports the preconceived notion that intersections may significantly influence an individual’s HR, suggesting heightened driver stress or cognitive load in response to these critical road junctures. These findings could inform urban traffic design and enhance vehicle technology, promoting safety and comfort in an increasingly automated driving environment. The code developed for this analysis is available <a href="https://github.com/Joelmillr/Heart-and-Intersections">https://github.com/Joelmillr/Heart-and-Intersections</a>.</p>

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At the Heart of Intersections: Analyzing Their Influence on Driver Heart Behaviour

  • 期刊论文

  • 发表日期：

    2025年6月10日

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  • Joel Miller,
  • Mohamed H. Zaki,
  • Soodeh Nikan

摘要

Although it may seem intuitive that intersection-related driving conditions could influence a driver’s heart rate (HR)—a key indicator of stress and cognitive load—prior research exploring this assumption has been limited. To address this gap, this paper investigates the physiological impact of intersections on a driver’s HR. By utilizing video and HR data collected from the Honda Research Institute (HRI), we apply E-Tests to assess the means and variance of Poisson distributions relating to HR events occurring both within and outside of intersections. Our analysis supports the preconceived notion that intersections may significantly influence an individual’s HR, suggesting heightened driver stress or cognitive load in response to these critical road junctures. These findings could inform urban traffic design and enhance vehicle technology, promoting safety and comfort in an increasingly automated driving environment. The code developed for this analysis is available https://github.com/Joelmillr/Heart-and-Intersections.