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sc 17(6): e5

Research Article

Cycling intellectualization in Smart Cities

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  • @ARTICLE{10.4108/eai.20-12-2017.153498,
        author={I. V. Makarova and A. D. Boyko and K. A. Shubenkova},
        title={Cycling intellectualization in Smart Cities},
        journal={EAI Endorsed Transactions on Smart Cities},
        volume={2},
        number={6},
        publisher={EAI},
        journal_a={SC},
        year={2017},
        month={12},
        keywords={Smart City, intellectualization, control system, Smart Bike, sensors, controllers, Internet of Things, transport system},
        doi={10.4108/eai.20-12-2017.153498}
    }
    
  • I. V. Makarova
    A. D. Boyko
    K. A. Shubenkova
    Year: 2017
    Cycling intellectualization in Smart Cities
    SC
    EAI
    DOI: 10.4108/eai.20-12-2017.153498
I. V. Makarova1, A. D. Boyko1, K. A. Shubenkova1
  • 1: Kazan Federal University, pr-t Syuyumbike, 10a, Naberezhnye Chelny, Russia

Abstract

Intellectualization is the basis for managing Smart Cities. This involves infrastructure development and design of vehicles equipped with intelligent modules, which provide the control ability. Along with it, the transition to “green”, safe and sustainable modes of transport, such as bicycle, should be realized. The widespread use of environmentally friendly bicycles is constrained by a number of reasons. The first is the absence of models designed for physically untrained people and the second is that almost half of all deaths on the world’s roads are among pedestrians and cyclists. We propose to solve these problems in two ways: development of an information system for bicycle infrastructure planning and modelling and creating control system of Smart Bike with adaptive electric drive that turns on when it’s necessary. Functional requirements for the proposed control system, its algorithm and the conceptual scheme of interaction between system’s modules are presented in the article.

Keywords
Smart City, intellectualization, control system, Smart Bike, sensors, controllers, Internet of Things, transport system
Received
2017-08-12
Accepted
2017-11-12
Published
2017-12-20
Publisher
EAI
http://dx.doi.org/10.4108/eai.20-12-2017.153498

Copyright © Makarova et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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