Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Real Time Parking Intelligence

Authors
Rayudu Srinivas1, *, Marisetti Maneela2, Attili Sai Sree Teja2, Koona Naveen2, Gani Sai2, Chukka Yaswanth2
1Professor, Dept of CSE, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, 531173, A.P, India
2Dept of CSE, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, 531173, A.P, India
*Corresponding author. Email: rayudu.srinivas89@gmail.com
Corresponding Author
Rayudu Srinivas
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_107How to use a DOI?
Keywords
Smart Parking; Internet of Things (IOT); NodeMCU; Infrared Sensors; Parking Space Monitoring; Wireless Communication; Parking Infrastructure; Traffic Optimization; Vehicle Detection; ThingSpeak
Abstract

The effective management of parking has become an essential aspect of urban mobility due to the rapid urbanization and the increasing number of vehicles on the streets. This technical document introduces a Smart Parking intelligence (SPI) that aims to address the challenges associated with traditional parking methods. The proposed system utilizes advanced technologies such as Internet of Things (IOT), sensors, and the thingspeak platform to optimize the utilization of parking spaces, control congestion, and improve the overall urban commuting experience. The Smart Parking System incorporates a range of sensors strategically placed in parking lots and surrounding areas to continuously monitor the real-time availability of each parking spot. These sensors transmit data to a centralized IOT-based platform, where the information can be visualized and processed. Clients can access this data through a website or other user interfaces, providing up-to-date information on parking space availability, location, and pricing.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_107How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rayudu Srinivas
AU  - Marisetti Maneela
AU  - Attili Sai Sree Teja
AU  - Koona Naveen
AU  - Gani Sai
AU  - Chukka Yaswanth
PY  - 2024
DA  - 2024/07/30
TI  - Real Time Parking Intelligence
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1125
EP  - 1136
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_107
DO  - 10.2991/978-94-6463-471-6_107
ID  - Srinivas2024
ER  -