Analysis of Handling Stability under Combined Steering and Road Irregularity Inputs

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

Most analyses of handling stability have been carried out on flat roads without road surface irregularities, and ride comfort analyses have been carried out on straight-line driving without steering input.
In this study, analyses of handling stability under combined steering and road surface irregularity inputs . In this report, a five-degree-of-freedom motion model is constructed considering road surface irregularities, and the effects of vertical friction of the suspension are investigated.

Analysis of the Impact of Changes in Vehicle Dynamics on Driver Operation.

Yoshinori Maeda (Toyota Motor)

This study examines the effects of changes in vehicle dynamics on driver perception and operation using a driving simulator. The results show that favorable vehicle dynamics are linked to a decrease in the peak value of steering speed. Analysis using τL reveals an increasing trend in τL, indicating that higher τL values lead to smoother driving operations, potentially resembling the behavior of experienced drivers.

Evaluation of Steering Characteristics Using τL and Steering Robot Tests on a Brake G-Vectoring Controlled Vehicle

Ibuki GENPEI･Makoto YAKAKADO･Masato ABE･Yoshio KANO･Masaki YAMAMOTO (Kanagawa Institute of Technology)･Tomohisa SHIBATA (Toyota Motor)

To explore applications in emergency avoidance, this study investigates the improvement of transient handling stability during steering using high-gain brake-based G-Vectoring Control. Open-loop transient characteristics were assessed via steering robot tests on a real vehicle. Driver margin was quantitatively evaluated using τL identification through lane-change experiments conducted with multiple drivers, confirming consistency with subjective steering characteristics.

Study on construction of system for estimating friction characteristics between tire and road on the forward road surface
-Sensor selection and algorithm construction for forward road friction characteristics estimation system-

Atsushi Watanabe･Ichiro Kageyama･Yukiyo Kuriyagawa･Tetsunori Haraguchi (Nihon University)･Tetsuya Kaneko (Osaka Sangyo University)･Minoru Nishio (Absolute Co., Ltd.)

In the previous report, we reported on road surface categorization utilizing multiple environmental information related to road surface friction characteristics on snowy and icy roads. In this study, we investigated the selection of effective sensors and the construction of an estimation algorithm for estimating the friction characteristics of the forward road surface. As a result, the effectiveness of the proposed method is verified and the feasibility of a forward road surface friction estimation system is discussed.