Analysis of Crossing Pedestrians' Decision at Unsignalized Crosswalk Using Logistic Regression

Shunto Araki･Takashi Nishimoto･Hiroyuki Okuda･Tatsuya Suzuki (Nagoya University)･Kazunori Ban (Toyota Technical Development)

Replicating diverse traffic scenes in traffic simulations plays an important role in validating ADAS/AD systems. In this research, pedestrian crossing decision-making at an unsignalized crosswalk is analyzed using the logistic regression analysis. Pedestrians' behavior is observed using our simulator, and the various individual characteristics of pedestrian crossing decisions are analyzed.

Near-miss verification using a driver-pedestrian model at an unsignalized intersection

Takuma Yamaguchi (Toyota Technical Development)･Toru Watanabe (Nagoya University)･Kazunori Ban (Toyota Technical Development)･Hiroyuki Okuda･Tatsuya Suzuki (Nagoya University)

Human movement is often said to be realized through cognition, judgment, and motion, and these errors result in near-misses and traffic accidents. The decision model for drivers and pedestrians can explicitly represent errors in cognition, decision, and motion. Therefore, this paper verify the extent to which near-miss events occur due to each of these errors.

Analysis and Modeling of Cyclists’ Intersection-Crossing Behavior Using a Neural Network Model

Ryo Wakisaka･Takuma Yamaguchi･Kazunori Ban (Toyota Technical Development)･Hiroyuki Okuda･Tatsuya Suzuki (Nagoya University)

To evaluate autonomous driving systems of vehicles through simulation, it is necessary to model the behavior of traffic participants. In particular, bicycles are a critical safety factor due to the various movements caused by cyclists’ ambiguous understanding of the rules. This study analyzes and models cyclists’ decisions and behaviors toward left-turning vehicles at intersections using deep learning, based on data collected with a cycling simulator.

Evaluation of driving training for passenger comfort by the vestibular surprise model

Keita Teshima･Masatoshi Takayama･Tomoo Kosaka･Mitsuhiro Narusue･Sho Yabunaka･Daichi Sato･Takeshi Yabuki･Masayuki Watanabe (Mazda)

We reported previously that the vestibular surprise model could be used as a human model to evaluate vehicle behaivor. Here, we adopted the same model to examine whether it could also evaluate driving skills for passenger comfort. Drivers were trained by an expert instructor from the Mazda Driving Academy. We compared the vestibular surprise of passengers seated in the rear seat before and after the drivers' training. We found that the driving training reduced the vestibular surprise of passengers. We conclude that the vestibular surprise model could be used as a tool for evaluating driving skills for passenger comfort.

Proposal of a Steering Assist System Considering Individual Driver Input Constraints: Second Report
-Evaluation Results with Elderly and Physically Limited Drivers-

Daisuke Nagasaka (J-QuAD DYNAMICS)･Akira Ito (Aichi Institute of Technology)･Hiroyuki Okuda (Nagoya University)･Shigenori Ichinose (J-QuAD DYNAMICS)･Hirofumi Aoki (Nagoya University)

Proposed earlier mixing-input shared control steering assist system was evaluated with elderly drivers and drivers whose range of motion is limited by physical constraints. Using a VR driving simulator, we examined steering workload reduction and other effects, and report the results.

Analysis of Abdominal Visceral Dynamics during Whole-Body Vibration Using a Human Body Finite Element Model

Toru Hamasaki･Yuko Nakahira･Masami Iwamoto (Toyota Central R&D Labs.)

In this study, we investigated the abdominal visceral dynamics under whole-body vibration using a human body finite element model. The model incorporated muscle activity to maintain a seated posture and adopted an implicit solver to enhance the computational efficiency of long-duration simulations. The simulation results indicated that the abdominal viscera underwent compressive and tensile deformation owing to phase differences between the thoracic and external excitation displacements, with peak deformation observed at approximately 5 Hz. Such deformations may induce the neural activation of mechanoreceptors within the abdominal viscera, potentially contributing to abdominal discomfort in moving vehicles.