Analysis of Cyclist Avoidance Behavior in Emergencies Using VR Simulation

Hiroya Sano･Yuqing Zhao (Nagoya University)

Half of fatal and serious injury accidents involving bicycles are crossing collisions with cars. This study developed a virtual reality bicycle simulator to conduct experiments simulating a car suddenly crossing. Cyclists' riding characteristics and emergency avoidance behaviors were measured to identify the behavioral factors determining collision avoidance success.

Modeling of Cyclist's Speed Decision Based on Acceleration and Deceleration Judgments at Unsignalized Intersection

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

Bicycles exhibit diverse behavior due to ambiguous rule recognition, making them an important safety factor for automobiles. Therefore, modeling cyclist behavior is a critical issue for evaluating safety systems such as automated driving through simulations. This study develops a cyclist speed decision model for interaction scenes with left-turning vehicles at unsignalized intersections. The model is constructed using experimental data measured with a bicycle simulator and is evaluated through comparisons with the measured data.

Overtaking Decision Model for Cyclists Considering Interaction with Rear-Approaching Vehicles

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

This study proposes a hierarchical cyclist overtaking model focusing on psychological pressure from rear vehicles in mixed traffic. Using simulator data, we probabilistically model the decision process in two phases: intention estimation via an LSTM incorporating physical preparatory behaviors, and final execution decision. The model is verified against conventional methods.

Pedestrians Recognition of Vehicle Yielding Intent under Vehicle Deceleration Behavior and Its Modeling
-Analysis Based on Initial Speed, Deceleration Rate, and Deceleration Onset Position-

Kazusa Fukawa･Taiki Yoshikawa (Keio University)･Wataru Nakashima･Takeshi Waragaya (Stanley Electric)･Tatsuru Daimon (Keio University)

This study investigated pedestrians’ judgments of being yielded to and the cognitive process underlying the recognition of vehicle yielding intent under vehicle deceleration behavior using a VR experiment reproducing an unsignalized crosswalk environment. Vehicle initial speed, deceleration onset position, stopping position, and day/night conditions were controlled as experimental variables. The data were analyzed from the perspectives of judgment timing and psychological factors, and the effects of vehicle behavior on pedestrians’ cognitive and decision-making processes are reported.

The Effect of Pattern-Projection Headlamps on Reducing Nighttime Pedestrian Accidents

Tatsuya Iizuka･Yoko Kato･Yoshiro Aoki･Michiaki Sekine (NALTEC)･Kazuyuki Kawamura･Kei Oshida (Honda R&D)

To reduce nighttime pedestrian vehicle-to-accidents, the effect of a headlamp projecting a diamond-shaped pattern was evaluated through real-vehicle driving experiments. In experiments conducted from the driver’s perspective, pedestrian detection distance was measured, whereas in experiments conducted from the pedestrian’s perspective, vehicle detection distance was measured under distracted conditions caused by smartphone use. The proposed headlamp was compared with conventional driving-beam and passing-beam headlamps.