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Smart Bike Sharing System to Make the City Even Smarter

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Advances in Computer and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 553))

Abstract

In the past few years, the growing population in the smart city demands an efficient transportation sharing (bike sharing) system for its development. The bike sharing as we know is affordable, easily accessible and reliable mode of transportation. But an efficient bike sharing system should be capable not only of sharing bike but also of providing information regarding the availability of bike per station, route business, time/daywise bike schedule. The embedded sensors are able to opportunistically communicate through wireless communication with stations when available, providing real-time data about tours/minutes, speed, effort, rhythm, etc. Based on our study analysis data to predict regarding the bike’s available at stations, bike schedule, a location of the nearest hub where a bike is available, etc., reduces the user time and effort.

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Authors and Affiliations

  1. Department of Information Technology, Indian Institute of Information Technology, Allahabad, India

    Monika Rani & O. P. Vyas

Authors
  1. Monika Rani
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  2. O. P. Vyas
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Corresponding author

Correspondence to Monika Rani .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Missouri, Columbia, Missouri, USA

    Sanjiv K. Bhatia

  2. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Kumar Singh

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Rani, M., Vyas, O.P. (2017). Smart Bike Sharing System to Make the City Even Smarter. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-10-3770-2_5

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  • DOI: https://doi.org/10.1007/978-981-10-3770-2_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3769-6

  • Online ISBN: 978-981-10-3770-2

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