Verification of driver's delay time (τL) due to differences in automotive Seat speficications.

Tetsuhiro Okuda･Tomoya Kato (TOYOTA BOSHOKU)

Driving operability is a crucial performance factor in the domains of handling stability and ride comfort, particularly in the context of automotive seat characteristics. However, its evaluation has traditionally relied on sensory assessments, making it challenging to incorporate into design processes. To create automotive seats that are easy to drive with and ensure safety and comfort for the driver, this study aims to quantify driving operability based on differences in seat characteristics.

Influence of driver seating position on steering characteristic evaluation

Motoharu Hattori･Masato Abe･Yoshio Kano･Masaki Yamamoto･Makoto Yamakado･Naoya Nishimura (Kanagawa Institute of Technology)

As vehicles become increasingly electrified, their specifications are shifting closer to those of low-center-of-gravity sports cars. This transformation is characterized by a lower center of gravity height, reduced pitch and yaw moments of inertia, and a rearward shifted center of gravity. However, due to the placement of the battery under the floor, the driver's seating height remains relatively high, distinguishing these vehicles from traditional low-center-of-gravity sports cars. This study investigates how differences in the driver's seating position influence steering characteristics by presenting experimental results obtained through a driving simulator evaluation.

Perfect tracking driver model aiming for perfect curve tracking based on vehicle dynamics and control design theory
-Don't combine Kondo model with feedforward!-

Hideki Sakai (Kindai University)

I propose a driver model that combines FF and FB to improve the curve-following performance of lane-keeping control. The FF section uses a dynamic inverse model of the vehicle model. Combining any FF section with the Kondo model, which was derived on the premise of a straight line, actually worsens the curve-following performance. Therefore, for the FB control section, a customized PID control is used by extending the operating principle of the Kondo model to a curve. As a result, when there is no disturbance, it is possible to follow a target course that does not include a break point with zero error. When a constant disturbance force is applied, the vehicle can turn with zero error in the steady-state response of a constant radius turn. The effectiveness of this control system has been verified by numerical calculation.

Vehicle Motion Analysis Using Deep Learning Coordinate Transformation

Masanori Harada･Yuki Ueyama (National Defense Academy of Japan)

This study investigates the deep learning coordinate transformation for vehicle motion analysis. For a course layout with a mixture of straight and curved shapes, constructed deep learning coordinate transformation can generate the lateral position and the curvature. Numerical examples show that the proposed idea can be easily applied to lane following or optimal trajectory generation.

The Influence of Vertical Suspension Friction on Planar Vehicle Dynamics (second Report)

Ayumu Tanaka･Yasuji Shibahata･masaaki Minakawa･Makoto Yamakado･Masaki Yamamoto･Masato Abe･Yoshio Kano (Kanagawa Institute of Technology)

In the first report, the effect of suspension vertical friction on vehicle planar motion through roll steer was analysed. In this paper, the same study was conducted on the initial toe, and it was clarified that it mainly affects the plane motion in the on-centre region. Furthermore, the effects caused by the coupled relationship between roll and plane motions were examined and compared in terms of the degree of these effects.