Skip to main content
SpringerLink
Log in

Driving simulation study for the analysis of distraction effects in longitudinal driving behaviour

  • Original Article
  • Published:
Cognition, Technology & Work Aims and scope Submit manuscript

Abstract

This paper is presenting a driver behaviour investigation conducted within the framework of ISi-PADAS (Integrated Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems) European Project under the 7th Framework Programme (FP7), running from September 2008 to September 2011. This research has been developed at an initial phase of the project to support the conception of a new driver assistance system aimed at improving longitudinal driving by means of information, warning and intervention strategies. In this research, the contribution to the system conception is based on providing a knowledge base of driver behaviour through the conduction of simulator experiments, so that driver modelling can be supported by driving performance data corresponding to specific scenarios of interest. In particular, this paper is aimed at investigating driver behaviour under different circumstances, namely, different longitudinal driving scenarios and distraction caused by a visual and a cognitive secondary task while driving. This way, visual and cognitive distraction effects on longitudinal driving can be analysed, focusing on the driving situations of interest. This paper provides a thorough description of the rationale behind the investigation and describes the methodology and procedure used for the experiments conduction. Moreover, the main results achieved through this research and how these results are linked to the modelling phase inside the ISi-PADAS project are covered within this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Alonso M, Vega MH, Martín O (2010) Conduction of simulator studies for the analysis of normal driver behaviour setting the basis for the design of a partially autonomous driver assistance system for longitudinal control support. Human modelling in assisted transportation (HMAT) conference, 30 June–2 July 2010, Belgirate (Italy)

  • Baldock MRJ, Long AD, Lindsay VL, McLean AJ (2005) Rear end crashes. University of Adelaide, Australia

    Google Scholar 

  • Brookhuis KA, De Vries G, Prins van Wijngaarden P, Veenstra G, Hommes M, Louwerens JW, O’Hanlon JF (1985) The effects of increasing doses of Meptazinol and Glafenine on driving performance (Report VK 85-16). Traffic Research Centre, University of Groningen, Haren, The Netherlands

  • Brookhuis KA, De Vries G, De Waard D (1991) The effects of mobile telephoning on driving performance. Accid Anal Prevent 23:309–316

    Article  Google Scholar 

  • Carsten O, Brookhuis K (2005) Issues arising from the HASTE experiments. Transp Res Part F Traffic Psychol Behav 8(2):191–196

    Article  Google Scholar 

  • DGT (2009) Anuario estadístico de accidentes. Dirección General de Tráfico (DGT). Ministerio de fomento

  • Engström J, Johansson E, Östlund J (2005) Effects of visual and cognitive load in real and simulated motorway driving. Transp Res Part F Traffic Psychol Behav 8(2):97–120

    Article  Google Scholar 

  • Fiorani M, Mariani M, Tango F, Saroldi A (2005) SASPENCE—Safe speed and safe distance: project overview and customer benefit analysis of a novel driver’s collision avoidance support system. 5th European ITS congress, Hannover, Germany

  • Harbluk JL, Noy YI (2002) The impact of cognitive distraction on driver visual behaviour and vehicle control. Study from transport Canada

  • Horrey WJ, Simons DJ (2007) Examining cognitive interference and adaptive safety behaviours in tactical vehicle control. Ergonom 50(8):1340–1350

    Article  Google Scholar 

  • Horrey WJ, Wickens CD (2006) Examining the impact of cell phone conversations on driving using meta-analytic techniques. Hum Factors 46:611–624

    Article  Google Scholar 

  • ISi-PADAS consortium (2008) Integrated human modelling and simulation to support human error risk analysis of partially autonomous driver assistance systems—description of work. ISi-PADAS project. Grant Agreement no. FP7–218552

  • Jamson AH, Merat N (2005) Surrogate in-vehicle information systems and driver behaviour: effects of visual and cognitive load in simulated rural driving. Transp Res Part F 8:79–96

    Google Scholar 

  • Kennedy RS, Lane NE, Berbaum KS, Lilienthal MG (1993) Simulator sickness questionnaire: an enhanced method for quantifying simulator sickness. Int J Aviat Psychol 3(3):203–220

    Article  Google Scholar 

  • Lee SE, Llaneras E, Klauer S, Sudweeks J (2007) Analyses of rear-end crashes and near-crashes in the 100-car naturalistic driving study to support rear-signaling countermeasure development, DOT HS 810 846. Performed by Virginia Tech Transportation Institute Blacksburg, Virginia. Sponsored by National Highway Traffic Safety Administration, Washington DC

  • Lesch MF, Hancock PA (2004) Driving performance during concurrent cellphone use: are drivers aware of their performance decrements? Accid Anal Prevent 36:471–480

    Article  Google Scholar 

  • Merat N, Johansson E, Engström J, Chin E, Nathan F, Victor T (2006) AIDE D2.2.3 Specification of a secondary task to be used in safety assessment of IVIS. AIDE (Adaptive Integrated Driver Vehicle Interface) EU project

  • Stutts JC, Reinfurt DW, Staplin L, Rodgman EA (2001) The role of driver distraction in traffic crashes. AAA Foundation for Traffic Safety, Washington, DC

    Google Scholar 

  • Treat JR (1980) A study of pre-crash factors involved in traffic accidents. HSRI Res Rev 10(11):1–35

    Google Scholar 

  • Van Kampen B (2003) Case study: rear end or chain accidents. SWOV Institute for Road Safety Research, The Netherlands

    Google Scholar 

  • Várhelyi A (1996) Dynamic speed adaptation based on information technology—a theoretical background. Ph.D. Thesis, Lund University, Sweden

  • Wickens CD (2002) Multiple resources and performance prediction. Theoretical Issues. Ergonom Sci 3(2):159–177

    Article  Google Scholar 

  • Wynn T, Richardson JH (2008) Comparison of subjective workload ratings and performance measures of a reference IVIS task. European conference on human centred design for intelligent transport systems (HUMANIST)

  • Young K, Regan M (2007) Driver distraction: a review of the literature. In: Faulks IJ, Regan M, Stevenson M, Brown J, Porter A, Irwin JD (eds) Distracted driving. Australasian College of Road Safety, Sydney, pp 379–405

    Google Scholar 

Download references

Acknowledgments

The research leading to these results has received funding from the European Commission Seventh Framework Programme (FP7/2007-2013) under grant agreement no FP7–218552, Project ISi-PADAS (Integrated Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems). The authors would like to specially thank the ISi-PADAS consortium that has supported the development of this research.

Author information

Authors and Affiliations

  1. CIDAUT Foundation, Parque Tecnológico de Boecillo, Parcela 209, 47151, Boecillo, Valladolid, Spain

    M. Alonso, M. H. Vega & O. Martín

Authors
  1. M. Alonso
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. H. Vega
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. O. Martín
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Alonso.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alonso, M., Vega, M.H. & Martín, O. Driving simulation study for the analysis of distraction effects in longitudinal driving behaviour. Cogn Tech Work 14, 283–297 (2012). https://doi.org/10.1007/s10111-011-0180-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10111-011-0180-9

Keywords

Search

Navigation