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Impulsive Parking Systems for Smart Cities Based on Vehicle Location and Destination Using Internet of Things

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Internet of Things in Smart Technologies for Sustainable Urban Development

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

People driving in the busy citified regions would be deeply annoyed to find an empty parking slot and crave for a solution that could lead them to an unfilled parking slot. The hustled movement of the vehicles in search of empty slot frustrates the driver and increases the fuel consumption which in turn raises the pollutant level in the exhaust gas. On searching for an empty slot in bustling urbs, the probability of a mishap is higher [1]. This issue made industries to invest solely on developing smart parking strategies by implementing modern technology. Cities with great ordinal of on-street parking slots comparatively needs to take up smart parking to avoid vehicles rushing to the empty parking slot. Today, parking sector is being changed by modern technologies which facilitate cities to reduce overcrowding of the vehicles and pollutants emission. Internet of Things (IoT) connects the world of parking and provides intelligent parking solutions. In this frame of reference, IoT employs integrated wireless sensor networks to link the parking slots cloud-predicated astute management accommodations are offered. These affiliated devices are termed as smart devices or smart objects, in addition it constitutes smart machines that communicate and interact with each other, environment, objects, etc. Some essential benefits of IoT are (1) easy to track, (2) increased awareness about the situation, (3) sensor determined judgmental analytics, (4) rapid control and response, etc. IoT technology grows in diverse fields and the boundary constraints are yet to be identified. To achieve our goal of smart parking, three major procedures are involved namely sensing/detection, processing, and connecting.

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Author information

Authors and Affiliations

  1. Department of Automobile Engineering, PSG College of Technology, Coimbatore, India

    Mathan Chandran, Thanarajan Kumaresan & R. Suresh Kumar

  2. Department of Chemistry, PSG College of Technology, Coimbatore, India

    Susan Immanuel

  3. Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India

    K. Vishnu Murthy

Authors
  1. Mathan Chandran
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  2. Susan Immanuel
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  3. Thanarajan Kumaresan
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  4. R. Suresh Kumar
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  5. K. Vishnu Murthy
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Editor information

Editors and Affiliations

  1. Associate Professor, Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India

    G. R. Kanagachidambaresan

  2. Assistant Dean – Research, VIT Bhopal University, Bhopal, Madhya Pradesh, India

    R. Maheswar

  3. Professor, Department of EEE, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India

    V. Manikandan

  4. Associate Professor, Department of EEE, Pondicherry Engineering College, Puducherry, India

    K. Ramakrishnan

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Chandran, M., Immanuel, S., Kumaresan, T., Suresh Kumar, R., Vishnu Murthy, K. (2020). Impulsive Parking Systems for Smart Cities Based on Vehicle Location and Destination Using Internet of Things. In: Kanagachidambaresan, G.R., Maheswar, R., Manikandan, V., Ramakrishnan, K. (eds) Internet of Things in Smart Technologies for Sustainable Urban Development. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-34328-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-34328-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34327-9

  • Online ISBN: 978-3-030-34328-6

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