The Effect of Front Pillar Blind Spots on Visual Behavior at Intersections in an Immersive Driving Simulator

Yuto Takei･Shinya Okamoto･Hisato Fukuda (Gunma University)･Toshihiko Kozai･Tsutomu Iwase (Gunma University / SUBARU)･Masanori Yoshida･Kenichi Sato･Noriyoshi Matsuo (SUBARU)

This study focuses on the visual behavior of drivers. It experimentally investigates the effect of the blind spots around the front pillars on driving at intersections using an immersive driving simulator. As a result, it was confirmed that visual behaviors, such as the driver's head-turning, increased with the enlargement of the blind spots. The effect was evaluated using a visibility score based on these visual behaviors.

Evaluation of Driver Safety Checking Behavior when Turning Right

Shinya Kitayama･Manabu Otsuka･Koji Hamada (DENSO)･Wentong Yang･Shota Matsubayashi･Kazuhisa Miwa (Nagoya University)

We are developing an information provision system that adapts to the driver's cognitive state. In this study, the timing of departure was measured in a virtual environment in order to clarify the factors that cause a lack of confirmation behavior when turning right. It was suggested that an increase in waiting time tends to increase the number of right-turn decisions without noticing oncoming vehicles or crossing pedestrians.

A Study for an Evaluation Index of Driver Preparing Behavior toward Potential Risks

Takahiro Tanaka･Hitoshi Kanamori･Asuka Harada (Nagoya University)･Saori Noda･Taiji Kawachi･Koji Hamada (DENSO)

In this study, we defined drivers' preparing behaviors towards potential risks while driving into three categories: prediction layer, detection layer, and response layer, and attempted to extract preparatory behaviors included in each layer from residential road driving data using a driving simulator. Furthermore, based on the analysis results, we examined indexes for evaluating preparing behaviors in each layer.

Modelling of Drivers' Internal States and Transition Mechanism using Vehicle Driving Data

Maki Kishimoto･Toshihiro Osaragi･Shoichi Mihara (Institute of Science Tokyo)･Akira Funakubo･Yusaku Takeda･Masashi Yamamoto･Chikara Tanaka (Mazda)

To achieve safe and comfortable automobile traffic, it is crucial to suppress selfish driving behavior and promote cooperative and altruistic driving. Altruistic behavior in one driver can be contagious, enhancing the overall safety of the transportation system. This paper quantitatively evaluates drivers' internal states from vehicle driving data and models the propagation structure of driving behaviors.