Car Driver Behavior During Pre-crash Situation: Analysis with the Benefit–Cost–Deficit Model

Today, few data allow estimating the driver posture and movements during crash situation. These precious data could provide the possibility to define criteria to trigger driving assistance to control the vehicle in the case of active safety or to protect the driver in the case of passive safety. The authors tried to link the different accidentology approaches by conducting a study about the feasibility to evaluate the behavior of the driver during a pre-cash situation with a driving simulator. The first experimental phase performed on a fix-base driving simulator underlined the interest of the approach so the second experiment was conducted with a strong experimental protocol and a motion-base driving simulator. Participants drove during thirteen (13) minutes on motorway and a-roads. At the end of the scenario, an unpredictable frontal collision with a truck was triggered. First results stemming from a second experiment reinforced results from the first one, i.e., all the drivers react faced with the accident. Even if drivers know that they are in a driving simulator, drivers tried to avoid the collision or to protect them. In order to identify driver behavior according to all the type of data the authors tried to use the so-called BCD (Benefit/Cost/Deficit) model. The objective of the current is the detection of a risky driving situation and the time of its occurrence in order to evaluate the possibility to trigger safety systems.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 16p
  • Monograph Title: 3rd International Conference on Road Safety and Simulation

Subject/Index Terms

Filing Info

  • Accession Number: 01501859
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2013 7:52AM