TY - GEN
T1 - Information Presentation Strategies to Promote Pedestrian Behavior Change in Mixed Spaces with Automated Vehicle
AU - Nishiura, Yuki
AU - Yamada, Hiroyuki
AU - Kurazume, Ryo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1
Y1 - 2024/1
N2 - This paper introduces an information presentation strategy for pedestrians, aiming to enhance traffic efficiency in a mixed pedestrian-automated vehicle environment, such as a public road. While automated driving technology has made remarkable progress, interactions with pedestrians on regular roads have mostly been studied in virtual environments using virtual reality goggles. According to these studies, potential traffic efficiency and safety issues arise from pedestrians' limited understanding of automated vehicle behavior. To address this, we propose a human-machine interface employing a head-mounted display (HMD) to mitigate traffic efficiency degradation caused by pedestrians. The proposed system draws upon behavioral economics principles to encourage pedestrians to modify their behavior and develop better interactions with automated vehicles. Simulations were conducted to identify an information presentation strategy that strongly supports learning, and its effectiveness was further validated through experiments involving a real vehicle. Notably, the experimental results confirmed that the information presentation strategies proven effective in simulations also facilitated pedestrian learning during real-world interactions.
AB - This paper introduces an information presentation strategy for pedestrians, aiming to enhance traffic efficiency in a mixed pedestrian-automated vehicle environment, such as a public road. While automated driving technology has made remarkable progress, interactions with pedestrians on regular roads have mostly been studied in virtual environments using virtual reality goggles. According to these studies, potential traffic efficiency and safety issues arise from pedestrians' limited understanding of automated vehicle behavior. To address this, we propose a human-machine interface employing a head-mounted display (HMD) to mitigate traffic efficiency degradation caused by pedestrians. The proposed system draws upon behavioral economics principles to encourage pedestrians to modify their behavior and develop better interactions with automated vehicles. Simulations were conducted to identify an information presentation strategy that strongly supports learning, and its effectiveness was further validated through experiments involving a real vehicle. Notably, the experimental results confirmed that the information presentation strategies proven effective in simulations also facilitated pedestrian learning during real-world interactions.
UR - http://www.scopus.com/inward/record.url?scp=85186270321&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186270321&partnerID=8YFLogxK
U2 - 10.1109/SII58957.2024.10417422
DO - 10.1109/SII58957.2024.10417422
M3 - Conference contribution
AN - SCOPUS:85186270321
T3 - 2024 IEEE/SICE International Symposium on System Integration, SII 2024
SP - 1026
EP - 1031
BT - 2024 IEEE/SICE International Symposium on System Integration, SII 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE/SICE International Symposium on System Integration, SII 2024
Y2 - 8 January 2024 through 11 January 2024
ER -