Published July 27, 2021 | Version 1
Journal article Open

Study on human subjects – influence of stress and alcohol in simulated traffic situations

  • 1. School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden
  • 2. Senseair AB, Flottiljgatan 49, SE-72131 Västerås, Sweden

Description

This report presents a research study plan on human subjects – the influence of stress and alcohol in simulated traffic situations under an H2020 project named SIMUSAFE. This research study focuses on road-users', i.e., car drivers, motorcyclists, bicyclists and pedestrians, behaviour in relation to retrospective studies, where interaction between the users are considered. Here, the study includes sample size, inclusion/exclusion criteria, detailed study plan, protocols, potential test scenarios and all related ethical issues. The study plan has been included in a national ethics application and received approval for implementation.

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References

  • Green P (2001). International Incidents: Crashes Induced by Driver Information System and What can be Done to Reduce Them. ITS World.
  • Matthews G, Desmond PA (1995). Stress as a factor in the design of in-car driving enhancement systems. Le Travail Humain: A Bilingual and Multi-Disciplinary Journal in Human Factors.
  • Selzer ML, Vinokur A (1975). Role of life events in accident causation. Ment Health Soc.
  • Reimer B, Mehler B (2011). The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation. Ergonomics. doi:10.1080/00140139.2011.604431
  • Mehler B, Reimer B, Coughlin JF (2010). Physiological reactivity to graded levels of cognitive workload across three Age groups: an on-road evaluation. Proc Hum Factors Ergon Soc 54th Annu Meet. doi:10.1177/154193121005402409
  • Matthews G, Joyner LA, Newman R (1999). Age and gender differences in stress responses during simulated driving. Proc Hum Factors Ergon Soc 43rd Annu Meet. doi:10.1177/154193129904301802
  • Norris FH, Matthews BA, Riad JK (2000). Characterological, situational, and behavioral risk factors for motor vehicle accidents: a prospective examination. Accid Anal Prev. doi:10.1016/s0001-4575(99)00068-8
  • (2016). National Center for Statistics and Analysis. Alcohol-impaired driving: 2015 data. Technical Report.
  • Jones AW (1990). Physiological aspects of breath alcohol measurement. Alcohol Drugs Driving.
  • Hlastala MP (1998). The alcohol breath test--a review. J Appl Physiol (1985). doi:10.1152/jappl.1998.84.2.401
  • Blomberg RD, Peck RC, Burns M (2005). Crash risk of alcohol involved driving: A case-control study. Technical report.
  • Hok B, Pettersson H, Andersson AK (2010). Breath analyzer for alcolocks and screening devices. IEEE Sensors Journal. doi:10.1109/JSEN.2009.2035204
  • Andersson AK (2010). Improved breath alcohol analysis with use of carbon dioxide as the tracer gas. PhD Thesis.
  • Anund A, Antonson H, Ihlström J (2015). Stakeholders' opinions on a future in-vehicle alcohol detection system for prevention of drunk driving. Traffic Inj Prev. doi:10.1080/15389588.2014.940579
  • Ljungblad J (2017). High performance breath alcohol analysis. PhD Thesis.
  • Ahmed MU (2021). Extended data for a study on human subjects related to Simusafe. Zenodo.
  • Barua S, Begum S, Ahmed MU (2015). Clustering Based Approach for Automated EEG Artifacts Handling. Frontiers in Artificial Intelligence and Applications.
  • Begum S, Barua S, Filla R (2014). Classification of physiological signals for wheel loader operators using Multi-scale Entropy analysis and case-based reasoning. Expert Syst Appl. doi:10.1016/j.eswa.2013.05.068
  • Begum S, Barua S, Ahmed MU (2014). Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning. Sensors (Basel). doi:10.3390/s140711770
  • Fu TC (2011). A review on time series data mining. Eng Appl Artif Intell. doi:10.1016/j.engappai.2010.09.007
  • Banaee H, Ahmed MU, Loutfi A (2013). Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges. Sensors (Basel). doi:10.3390/s131217472
  • Ahmed MU, Banaee H, Loutfi A (2013). Health monitoring for elderly: An application using case-based reasoning and cluster analysis. doi:10.1155/2013/380239
  • Ahmed MU, Funk P (2012). A Computer Aided System for Post-operative Pain Treatment Combining Knowledge Discovery and Case-Based Reasoning. 20th Intl Conf on Case-Based Reasoning. doi:10.1007/978-3-642-32986-9_3
  • Jones AW, Andersson L (2003). Comparison of ethanol concentrations in venous blood and end-expired breath during a controlled drinking study. Forensic Sci Int. doi:10.1016/s0379-0738(02)00417-6