An Autonomous Maximum Speed Control Considering Boarding Weight For Safe E-scooter Driving

Junwoo Ha, Im Y. Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Accident cases are also increasing in proportion to the recent increase in the number of users of shared e-scooters. In order to reduce the accidents, the shared e-scooter platform applies the same maximum speed. We propose an effective maximum speed control to increase safety in e-scooter driving on straight and curved roads according to the boarding weight using a pressure sensor.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
EditorsShusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6642-6643
Number of pages2
ISBN (Electronic)9781665480451
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
Duration: 17 Dec 202220 Dec 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Conference

Conference2022 IEEE International Conference on Big Data, Big Data 2022
Country/TerritoryJapan
CityOsaka
Period17/12/2220/12/22

Keywords

  • Autonomous maximum speed control
  • Boarding weight
  • Road condition
  • Safe e-scooter driving

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