No. | Video | Title・Author (Affiliation) |
---|---|---|
1 | ◯ |
Driving behavior of Careful human drivers in the scene of dynamic blind spots and overtaking a bicycle Yuki Manabe・Toru Kojima・Koichi Kitada・Kenji Morizaki (NALTEC) In UN Regulations for automated driving vehicles, it is required that the performance of the system shall be ensured at least to the level at which a “Competent and Careful human driver (C & C driver)” could minimize the risks. However, quantitative requirements for careful driving behavior equivalent to the "Careful" part of “C & C driver” have not been determined. In this study, the behavior of a careful human driver in situations with dynamic blind spots was investigated by using a driving simulator. |
2 | ◯ |
Study on Visibility Behavior at Intersections in an Actual Vehicle and an Immersive Driving Simulator Hisato Fukuda・Yuto Takei・Hyuga Nojiri (Gunma University)・Toshihiko Kozai・Tsutomu Iwase (Gunma University / SUBARU)・Masanori Yoshida・Kenichi Sato (SUBARU) Although immersive driving simulators are expected to be useful for evaluating driving visibility performance, it remains unclear whether visual behavior can be measured to the same extent as in an actual vehicle. This study examined drivers' visual behavior when turning right at an intersection using an actual vehicle and an immersive driving simulator. This paper focuses on changes in visual behavior caused by increased occlusion around the A-pillar and examines drivers' visual behavior in different driving environments. |
3 | ◯ |
Improvement of Driving Simulator for Rear-end Collision Prevention Education Using the PLATEAU 3D City Model Koshi Miyazaki・Kazuaki Goshi・Yasuaki Sumida・Masaki Hayashi (Kyushu Sangyo University)・Katsuya Matsunaga (Kyushu University) To prevent rear-end collisions, it is considered effective to educate drivers on maintaining appropriate inter-vehicle distances through rear-end collision experiences using a driving simulator (DS). In this study, we improved a rear-end collision prevention educational DS utilizing the PLATEAU 3D city model by adding a function to display inter-vehicle distance graph and the review function to show driving operation data. |
4 | ◯ |
Analysis of Mirror Field of View Expansion Range Resulting from Driver's Head Movement Takashi Hosokawa (JARI)・Akinari Hirao (Shibaura Institute of Technology)・Tomotaka Igarashi (JAMA) The use of a camera monitoring system (CMS) is permitted by UNECE Regulation No. 46; the CMS cannot change the field of view because the camera is fixed in position and can only change the field of view temporarily. With mirrors, the driver can move his/her head to widen the field of view. In this study, we examined the range of field of view expansion by head movement in a Class 3 mirror through an actual vehicle experiment. As a result, the angular range of about three times the legal range could be confirmed by moving the head. |
5 | ◯ |
Interaction between inappropriate schema and attention deficits as a mechanism of pedal misapplication Shohei Shimotori・Yuichi Saito・Makoto Itoh (University of Tsukuba)・Toshihisa Sato (AIST) Undergraduate/graduate students with no driving experience were given the task of following a car as well as cognitive and tactile subtasks on a driving simulator. As the students became more proficient in pedaling, several misapplications were observed. We analyzed past pedal operations in the same forward situation as the moment when the error occurred. The results suggest that the interaction between inappropriate schema activation and attention deficits might lead to pedal misapplication. |
6 | ◯ |
Assessment of the Impact of Drunk Driving Masaki Yamaoka・Norimasa Nakamura・Minori Yamataka・Takafumi Ito (DENSO) The introduction of technology to detect impaired driving (impaired driving caused by alcohol or drugs) has been discussed in US regulations and new vehicle access (NCAP). As a basic study, we collected drunk driving data using a driving simulator and an actual car, and analyzed the trend of drunk driving. |
7 | ◯ |
Provision of Information to Encourage Driver Preparing Behavior toward Potential Risks Saori Noda・Taiji Kawachi・Koji Hamada (Advanced Research and Innovation Center, DENSO CORPORATION)・Hitoshi Kanamori・Asuka Harada・Takahiro Tanaka (Institutes of Innovation for Future Society, Nagoya University) In this study, we investigate a method to make safe driving habits by making drivers take preparing behavior for potential risks by providing information corresponding to driving behavior when approaching an intersection. By the effect verification in the driving simulator, we confirmed the increase of the expected action, and it was indicated to be effective for the induction to the safe driving. |