Longitudinal driving behavior in case of emergency situations: An empirically underpinned theoretical framework

Adverse conditions have been shown to have a substantial impact on traffic flow operations. It is however not yet clear to what extent emergency situations actually lead to adaptation effects in empirical longitudinal driving behavior, what the causes of these adaptation effects are and how these can best be modeled. In this paper the authors show using an elaborate driving simulator experiment that emergency situations lead to significant adaptation effects in longitudinal driving behavior. Furthermore they introduce a new theoretical framework. In this framework adaptation effects in longitudinal driving behavior are assumed to consist of compensation effects and performance effects. In order to empirically underpin this framework they show in this paper that compensation effects are reflected in parameter value changes in the Intelligent Driver Model, while performance effects are reflected in a reduction in model performance. Furthermore the authors show that compensation effects following an emergency situation are reflected in a change in the position of perceptual thresholds in a psycho-spacing model while performance effects are reflected in a reduced sensitivity of acceleration towards lead vehicle related stimuli at the action points. The paper concludes with a discussion as well as recommendations for future research.

• Record URL:
  • https://doi.org/10.1016/j.trc.2013.06.020
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0968090X13001538
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Hoogendoorn, Raymond G
  • van Arem, Bart
  • Brookhuis, Karel A
• Publication Date: 2013-11

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 581-603
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 36
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Behavior; Car following; Driver performance; Driving simulators; Emergencies; Psychological adaptation; Traffic flow theory
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Security and Emergencies; I71: Traffic Theory;

Filing Info

• Accession Number: 01501490
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 20 2013 2:24PM