Pre FOT on a private test course

For reducing the number of traffic accidents around intersections with bad visibility due to occlusion, we previously proposed a proactive braking intervention system that assumed imaginary pedestrians rushing out from occlusion. To discuss the acceptance of the proposed system, evaluation by actual drivers in the real world is necessary. However, experiments on public roads as an initial step sometimes result in insufficient discussion due to the unclear points of issue. Thus, at first for discussing the points of issue, we conducted pre FOT on a private course where we could control various conditions.

Left side: Appearance of experimental situation of proactive braking intervention.

Right side: Schematic of experimental situation of proactive braking intervention.

Provided HUD contents during proactive braking intervention

Related Paper

Takuma Ito, Masatsugu Soya, Satoshi Nakamura, So Saito, Nobuyuki Uchida, Minoru Kamata, “Acceptability of a Proactive Braking Intervention System by Elderly Drivers Using an Actual Vehicle”, International Journal of Automotive Engineering, 9(4) 186-194, 2018, doi:10.20485/jsaeijae.9.4_186 

FOT on public roads

Based on the discussions of Pre-FOT, we conducted FOT of the proactive braking intervention system on public roads. Because the proactive braking intervention system developed in our previous study controls the velocity, traffic smoothness is one of key factors for the acceptance. Thus, for evaluating the proposed system from various traffic environments, we conducted FOT on three areas that had different traffic characteristics from each other.

Left side: Assumption of rushing out pedestrian from occlusion.

Right side: Provided HUD contents during proactive braking intervention.

Related Paper

Takuma Ito, Ryosuke Matsumi, Yuichi Saito, Akito Yamasaki, Shintaro Inoue, Tsukasa Shimizu, Masao Nagai, Hideo Inoue, Minoru Kamata, “Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions”, International Journal of Intelligent Transportation Systems Research, 20(1) 330-355, Oct 15, 2021, doi:10.1007/s13177-021-00278-x.