Avoidance behavior when encountering dangerous driving by others and driving behavior aimed at ensuring physical margin during city driving by human drivers. (the 1st report)

Toru Kojima･Yuki Manabe･Koichi Kitada･Kenji Morizaki (NALTEC)

Assuming automated vehicles will share general roads with human drivers, we used a driving simulator to investigate normative driving behaviors for automated vehicles, including harmony with surrounding traffic. Specifically, we examined the Avoidance behavior when encountering dangerous driving by others and driving behavior aimed at ensuring physical margin during city driving by human drivers, including violations of traffic laws.

Avoidance behavior when encountering dangerous driving by others and driving behavior aimed at ensuring physical margin during city driving by human drivers. (the 2nd report)

Yuki MANABE･Toru KOJIMA･Koichi KITADA･Kenji MORIZAKI (NALTEC)

Assuming automated vehicles will share general roads with human drivers, we used a driving simulator to investigate normative driving behaviors for automated vehicles, including harmony with surrounding traffic. Specifically, we examined the Avoidance behavior when encountering dangerous driving by others and driving behavior aimed at ensuring physical margin during city driving by human drivers, including violations of traffic laws.

Analysis of physical and gaze behavior factors influencing driver responses in intersection collisions

Kotaro Sugiura･Yuki Nitta･Yuqing Zhao･Koji Mizuno (Nagoya University)

This study aims to identify the factors influencing drivers’ braking reaction time (BRT) in car-to-cyclist collisions at intersections. By using results from driving aptitude tests and visual behavior data obtained from driving simulator experiments as explanatory variables in a decision tree model, the results show that scan frequency is the most influential factor affecting BRT, followed by dynamic visual acuity.

Gaze behavior analysis using a driving simulator

Yuki Nitta･Kotaro Sugiura･Yuqing Zhao･Koji Mizuno (Nagoya University)

Car-to-cyclist collisions at intersections occur frequently, and it is important to clarify the contributing factors. Moreover, many of these accidents have been found to occur under low-visibility conditions caused by inclement weather. In this study, a driving simulator was used to reconstruct various driving environments, including clear, nighttime, and rainy conditions. Driving behavior and visual data were analyzed to investigate differences in drivers’ emergency responses. The experimental results revealed that drivers’ gaze behavior varied depending on the driving environment, which contributed to differences in their responses to cyclists.

A Study on the Effects of Differences in Driver’s Brain Activity on Curve Recognition and Driving Performance

Hiroshi Kuniyuki･Fumitaka Fukuzawa･Kohjiro Hashimoto･Kikunori Shinohara (Suwa University of Science)･Masashi Makita (Teikyo University)

This study focused on the driver's brain activity in the prediction section, which is the stage before recognition, and analyzed the effects of superior or inferior brain activity on recognition and driving performance on curved roads from experiments using a driving simulator. The results showed that when the frontal lobe was activated in the predictive section, the recognition of curve became faster and the amount of lane departure in the curve section was decreased.

A Study on Optimal Driver Posture with Low Driving Burden
-Impact on Hazard Avoidance Scenarios-

Naoya Yamakawa･Souma Adachi･Ryoto Warashina (Suwa University of Science)･Masashi Makita (Teikyo University)･Hiroshi Kuniyuki (Suwa University of Science)

In this study, a hazard avoidance scene was set up using a driving simulator and the effects of seating posture on muscle strain and hazard avoidance performance were analyzed. The results showed that in braking avoidance, the forward lean posture had higher avoidance performance but also higher muscle burden, while in steering avoidance, the standard posture with a natural elbow joint angle had lower muscle burden and higher avoidance performance.