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Chalmers University of Technology




   Field Operational Tests –
From Data Collection to Analysis
     With Focus on Distraction


     Katja Kircher, Chalmers



                                                     Foto: Tedd Soost
Chalmers University of Technology




            FOT – a Hot Topic
• In Sweden and Europe now many FOTs underway
• Netherlands: Roads to the Future (ACC &
               LDW; 20 cars, 5 months, finished
               2006???); LDWA FOT (35 trucks 1
               coach, LDW)
• Sweden:      ISA, TSS-FOT, SeMiFOT, (Distraction
               Project)
• EU:          euroFOT, TeleFOT
Chalmers University of Technology




                   In the US
• completed (examples)
  – UMTRI (ACAS FOT, RDCW FOT)
  – Volvo FOT, Drowsy Driver Warning System FOT

• ongoing (examples)
  – IVBSS, CICAS-V, SafeTrip 21
  – (naturalistic driving: 100 car; SHRPII)
Chalmers University of Technology




            Evaluated Functions
    comfort systems           decreasing activity frequency
•   ACC




                                                   activity
•   ISA
•   Lane Change/Merge
•   LDW, CSW (RDCW)




                                     criticality
•   Drowsy Driver Warning
•   FCW (IVBSS)
    ”event” warning systems   increasing criticality
Chalmers University of Technology




              Driver State
• So far not often a main factor in FOTs
  (except Drowsy Driver Warning System
  FOT, VTTI).
• However, FOT and naturalistic driving (ND)
  data useful to answer driver state
  questions (e. g. prevalence in different
  situations)
Chalmers University of Technology




Driver State
•   Intoxication
•   Drowsiness
•   Distraction
•   Illness
•   Stress and                              Foto: Tedd Soost



    other ”mental
    states”
Chalmers University of Technology




Driver State – Possible Questions
•   prevalence during different situations/ events
•   possible to warn before critical events occur?
•   effect of warnings?
•   general change of behaviour?
•   long-term effects, e. g. system abuse
•   validation of simulator/test track findings
Chalmers University of Technology




 Driver State – FOT Difficulties
• not easy to log in real time
  (necessary to give real time warnings/info)
• not even easy to log reliably at all
  (e. g. stress, intoxication, …)
Chalmers University of Technology




         FOT and Distraction
• Visual distraction accessible via eye
  trackers (gaze direction), which by now are
  mature enough for field use
• Distraction quite common in everyday
  driving (reasonable FOT duration enough)
• Distraction difficult to ”provoke
  naturally” somewhere else than
  in field (FOT method of choice)
Chalmers University of Technology




  FOT and Drowsiness
• Drowsiness accessible via eye
  trackers (blink behaviour),
  which by now are mature enough for field use
• Drowsiness not so common in everyday driving
  (FOT duration? Special driver selection?)
• Drowsiness in field/natural environ-
  ment qualitatively different than
  ”forced drowsiness” in simulators?
Chalmers University of Technology




  FOT for Studies of Driver State
• + natural environment
• + long-term observation of behaviour
  (adaptation)
• + prevalence data obtainable

• - not easy to collect data (sensors)
Chalmers University of Technology




          General FOT issues
• ethical issues (integrity, data access)
• legal issues (filming, data access)
• logistics issues (data collection, upload,
  back-up)
• analysis issues (retrieving
  relevant info, data loss,
  statistics)
Chalmers University of Technology

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Session 61 Kkatja Kircher

  • 1. Chalmers University of Technology Field Operational Tests – From Data Collection to Analysis With Focus on Distraction Katja Kircher, Chalmers Foto: Tedd Soost
  • 2. Chalmers University of Technology FOT – a Hot Topic • In Sweden and Europe now many FOTs underway • Netherlands: Roads to the Future (ACC & LDW; 20 cars, 5 months, finished 2006???); LDWA FOT (35 trucks 1 coach, LDW) • Sweden: ISA, TSS-FOT, SeMiFOT, (Distraction Project) • EU: euroFOT, TeleFOT
  • 3. Chalmers University of Technology In the US • completed (examples) – UMTRI (ACAS FOT, RDCW FOT) – Volvo FOT, Drowsy Driver Warning System FOT • ongoing (examples) – IVBSS, CICAS-V, SafeTrip 21 – (naturalistic driving: 100 car; SHRPII)
  • 4. Chalmers University of Technology Evaluated Functions comfort systems decreasing activity frequency • ACC activity • ISA • Lane Change/Merge • LDW, CSW (RDCW) criticality • Drowsy Driver Warning • FCW (IVBSS) ”event” warning systems increasing criticality
  • 5. Chalmers University of Technology Driver State • So far not often a main factor in FOTs (except Drowsy Driver Warning System FOT, VTTI). • However, FOT and naturalistic driving (ND) data useful to answer driver state questions (e. g. prevalence in different situations)
  • 6. Chalmers University of Technology Driver State • Intoxication • Drowsiness • Distraction • Illness • Stress and Foto: Tedd Soost other ”mental states”
  • 7. Chalmers University of Technology Driver State – Possible Questions • prevalence during different situations/ events • possible to warn before critical events occur? • effect of warnings? • general change of behaviour? • long-term effects, e. g. system abuse • validation of simulator/test track findings
  • 8. Chalmers University of Technology Driver State – FOT Difficulties • not easy to log in real time (necessary to give real time warnings/info) • not even easy to log reliably at all (e. g. stress, intoxication, …)
  • 9. Chalmers University of Technology FOT and Distraction • Visual distraction accessible via eye trackers (gaze direction), which by now are mature enough for field use • Distraction quite common in everyday driving (reasonable FOT duration enough) • Distraction difficult to ”provoke naturally” somewhere else than in field (FOT method of choice)
  • 10. Chalmers University of Technology FOT and Drowsiness • Drowsiness accessible via eye trackers (blink behaviour), which by now are mature enough for field use • Drowsiness not so common in everyday driving (FOT duration? Special driver selection?) • Drowsiness in field/natural environ- ment qualitatively different than ”forced drowsiness” in simulators?
  • 11. Chalmers University of Technology FOT for Studies of Driver State • + natural environment • + long-term observation of behaviour (adaptation) • + prevalence data obtainable • - not easy to collect data (sensors)
  • 12. Chalmers University of Technology General FOT issues • ethical issues (integrity, data access) • legal issues (filming, data access) • logistics issues (data collection, upload, back-up) • analysis issues (retrieving relevant info, data loss, statistics)