Information Presentation Strategies to Promote Pedestrian Behavior Change in Mixed Spaces with Automated Vehicle

Yuki Nishiura, Hiroyuki Yamada, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE/SICE International Symposium on System Integration, SII 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1026-1031
Number of pages6
ISBN (Electronic)9798350312072
DOIs
Publication statusPublished - Jan 2024
Event2024 IEEE/SICE International Symposium on System Integration, SII 2024 - Ha Long, Viet Nam
Duration: Jan 8 2024Jan 11 2024

Publication series

Name2024 IEEE/SICE International Symposium on System Integration, SII 2024

Conference

Conference2024 IEEE/SICE International Symposium on System Integration, SII 2024
Country/TerritoryViet Nam
CityHa Long
Period1/8/241/11/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Instrumentation

Fingerprint

Dive into the research topics of 'Information Presentation Strategies to Promote Pedestrian Behavior Change in Mixed Spaces with Automated Vehicle'. Together they form a unique fingerprint.

Cite this