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               (linear  translation),  we  had  a  subject  driving  the  simulator.  The  actuator  intended  for  longitudinal
               movement  restitution  was powered  by the  above-described  classic washout  algorithm.  This  algorithm
               was computed on a control PC which received the acceleration of the simulated vehicle at 1.5kHz.

               The acceleration  signal  obtained during the subject's  driving contains acceleration phases, deceleration
               and  continuous  accelerations  phases.  Following  the  processing  of  this  acceleration  by  the  washout
               algorithm, this  acceleration  is transformed  into  a desired position  profile  with a tendency  to return to
               the neutral position  during the continuous  acceleration phase  (fig  3).  We noted  in this one that with a
               PID  corrector,  the  platform  position  exactly  superposed  the  desired  position.  Washout  algorithm  has
               been  implemented  in a two-factor  (Back  of the  seat x  Motion  base)  repeated  measure  where  the  seat
               variable  consists  of  two  levels  (Back  of  the  seat  tilt  'on'  or  'off),  whereas  the  magnitude  of  the
               platform  motion consists of three levels (Without,  Short, or Long longitudinal movement). All of these
               2x3 experimental conditions, requires that the subjects  drive the simulator  for  five minutes on average.
               In  (Neimer  et  al.  (2005))  we  show  that  best  performance  is  obtained  by  having  a  controlled
               combination  of  the  back  of  the  seat  inclination  'On'  and  Short  longitudinal  platform  displacement.
               Rotating the entire seat is not considered since it induces false cues.


               CONCLUSION

               The  proposed  driving  simulator  and  the  motion  cueing  algorithm  have  been  used  in  various
               psychophysics  experiments.  Experiments  consisted  in  exploring  minimal  displacements  and
               subsequent  inertial  effect  restitution  to  perform  file  queuing  driving  situations.  Obtained  results  are
               presented  in  (Neimer  et  al.  (2005))  and  show  the  validity  of the  proposed  concepts.  Our  future  work
               will  focus  on  the  development  of  new  control  strategies  for  the  platform,  which  will  aim  to  favour
               driver  control  over  the  virtual  vehicle's  acceleration.  Optimal  coupling  of  visual,  haptic  and  inertia
               effects  restitution  will  be also  investigated.
               REFERENCES

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               Reymond  G. and Kemeny A. (2000). Motion cueing in the Renault Driving  Simulator.  Vehicle System
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               Reymond  G.  and Kemeny A.  and Droulez  J.  and Berthoz A. (2000). Contribution  of motion  platform
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