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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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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
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e-ISSN
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Number of pages
6
Pages from-to
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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
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