Unsafe and inefficient communication between automated buses and road users on public roads in Japan

Masahiro Taima, Tatsuru Daimon

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

Abstract

For an appropriate communication design between an automated vehicle and road users, we need to understand unsafe and inefficient communications in public road environments. This study investigated unsafe and inefficient communications between automated buses and road users and analyzed the underlying factors. We collected video data from a camera attached to a bus for 233 days in a field operation test (FOT) at seven locations in Japan and observed 22,199 communications between the automated bus and road users. Consequently, we observed several types of unsafe and inefficient communications. We found that specific automated bus characteristics, such as absence of driver's action, unfamiliar appearance, and fixed trajectory, caused these unsafe and inefficient communications in crossing and overtaking scenarios. Our study indicates the necessity of some improvements for implicit/explicit cues from an automated bus, along with the education of residents and visitors.

Original languageEnglish
Title of host publication1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665472753
DOIs
Publication statusPublished - 2023
Event1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Jeddah, Saudi Arabia
Duration: 2023 Jan 232023 Jan 25

Publication series

Name1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings

Conference

Conference1st International Conference in Advanced Innovation on Smart City, ICAISC 2023
Country/TerritorySaudi Arabia
CityJeddah
Period23/1/2323/1/25

Keywords

  • Automated bus
  • Automated vehicle (AV)
  • Field operation test (FOT)
  • Japan
  • Road safety

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Transportation
  • Urban Studies

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