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Study of riding specifics of the electric and conventional powered two-wheeler users

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00351483" target="_blank" >RIV/68407700:21260/21:00351483 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/xpl/conhome/9447356/proceeding" target="_blank" >https://ieeexplore.ieee.org/xpl/conhome/9447356/proceeding</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/scsp52043.2021.9447401" target="_blank" >10.1109/scsp52043.2021.9447401</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study of riding specifics of the electric and conventional powered two-wheeler users

  • Original language description

    Electric powered motorbikes nowadays rapidly increase ratio across micro-mobility shared services. This trend is in addition supported with smart city development. The electric powered bikes bring specifics for the riders in sense of motorcycle control. Electric powertrain has different complex features that rider has to deal with and it is not primarily trained for. Current research typically copes with challenges such as route planning, travel range, daily recharging etc. Therefore, the research deals not only with external characteristics, but also with internal factors which can be affected by rider. This article aims to the specifics of riding the electric motorcycle compared to the conventional petrol powertrain. It is important to define crucial parameter trends to follow these specifics to increase safety of users and thus the traffic safety in the smart cities.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2021 Smart City Symposium Prague

  • ISBN

    9780738131580

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    May 27, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article