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A smart parking system using IoT

Author

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  • D. Ganesh Gopal
  • M. Asha Jerlin
  • M. Abirami

Abstract

The primary vision of developing smart cities is to enable growing technologies in to our daily activities, that will helps us to resolve our daily issues in house management, health care management, traffic management system. Due to the overcrowding of cities and increase in the number of vehicles finding a free space to park vehicles has become a major issue to the drivers especially in peak hours. Though many traditional approaches and technologies are deployed there have been many flaws are suspected and identified. Though lot of solutions has been proposed over the parking solution problems they have certain limitation and constraints over the devices or technology used as well as the cost factor required for implementation. So considering such factors we have proposed a prototype model to experiment our system which can very effectively optimise the parking solution with low-cost parking solutions.

Suggested Citation

  • D. Ganesh Gopal & M. Asha Jerlin & M. Abirami, 2019. "A smart parking system using IoT," World Review of Entrepreneurship, Management and Sustainable Development, Inderscience Enterprises Ltd, vol. 15(3), pages 335-345.
    • Handle: RePEc:ids:wremsd:v:15:y:2019:i:3:p:335-345
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    Cited by:

    1. Xuewen Chen & Yuanpeng Jia & Xiaoqi Tong & Zirou Li, 2022. "Research on Pedestrian Detection and DeepSort Tracking in Front of Intelligent Vehicle Based on Deep Learning," Sustainability, MDPI, vol. 14(15), pages 1-16, July.

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