Optimizing Vehicle Occupant Packaging

Simulated effect of driver and vehicle interaction on vehicle interior layout

“…However, physics-based posture prediction method results in a mean value ranging from À0.024 N to 0.588 N. The shear forces obtained with physics-based posture prediction method are comparable with shear forces obtained in Bush and Hubbard (2007) and Olesen (2012). Also, usage of multi-objective optimization that considers accommodation in terms of vision and seat location simultaneously, reduces the adjustment range in horizontal direction presented in (Parkinson and Reed, 2006) by 76 mm with a relative error of 4.5% in averaged downvision angle proving the proposed formulation gives accurate results for vision as well. The difference between the predicted seat track locations is 36 mm and 23 mm in the horizontal and vertical directions, respectively, from that in (SAE International, 2005).…”

“…The difference between the predicted seat track locations is 36 mm and 23 mm in the horizontal and vertical directions, respectively, from that in (SAE International, 2005). The predicted vertical adjustment range has only 3 mm difference with (Parkinson and Reed, 2006).…”

“…The cascade prediction model (CPM) for posture predictions was reported (Parkinson and Reed, 2005;Reed et al, 2002). The CPM method was extended to SAE Class-A vehicles (passenger cars and trucks with design seat heights less than 405 mm) for optimizing a vehicle cabin layout (Parkinson and Reed, 2006;Gordon et al, 1988Gordon et al, , 1989. RAMSIS (Van Der Meulen and Seidl, 2007) and JACK (Phillips and Badler, 1988) are two toolkits used in the automobile industry.…”

Estimated anthropometry for male commercial pilots in Europe and an approach to its use in seat design

“…The main drawbacks of this technique are: (1) inaccurate estimations of anthropometry at the tails of the distribution and (2) the necessity of a detailed database from which to obtain the regression equations. The accuracy of the regression methodology, particularly in the tails of the distribution, is increased considerably with the inclusion of residual variance as a stochastic component in the model (Parkinson and Reed, 2006;Garneau and Parkinson, 2009).…”

Integrated Framework for Vehicle Interior Design Using Digital Human Model

“…Then, he/she has to determine the position of the markers on the manikin using a coordinate-measuring machine (CMM) to determine the joint angles of the manikin. A method of optimizing the parameters of vehicle occupant packaging using a posturing model from various populations under some vehicle constraints has been proposed [6] .…”