The Influence of Timing and Positional Relationship in Interaction with Autonomous Car on Decisions of Bicycle Drivers to Passing Through Intersection

Soushi Akanuma･Masanori Takemoto (Seikei University)

In order to realize autonomous driving in ordinary roads, this study dealt with interaction system between autonomous car and bicycle driver that would be the collision target. The interaction system, in which a left-turning autonomous car required a bicycle driver passing through a signalized intersection to slow down, was established in the experimental environment of a bicycle simulator. We analyzed the influence of the distance to the intersection and the positional relationship during the requirement on decisions of bicycle drivers to passing through the intersection.

Examination of Visual Information during Partial Take-over Regarding Safety Confirmation

Junya Ito･Masanori Takemoto (Seikei University)

In order to realize safe take-over in ordinary roads, this study designed a partial take-over that required drivers to conducting safety confirmation of undetected areas of the autonomous driving system and examined an appropriate type of visual information for promoting drivers to conduct safety confirmation. In the experiment, we assumed the situation that the autonomous driving system could not detect areas where crossing bicycles existed when turning left at a signalized intersection and analyzed the effect of displaying visual information on safety confirmation.

Information Acceptance Characteristics of Cyclists According to Traffic Environment

Noritaka Kobayashi･Hiroshi Yoshitake･Motoki Shino (Institute of Science Tokyo)

In providing information support to cyclists while riding to prevent accidents, there is a risk that cyclists may not be able to accept the support information due to the amount of information they process depending on the traffic environment. In this study, we aimed to design the amount of information and timing of information support and understood the traffic environment that influences cyclists' information processing and the characteristics of information processing in that environment.