IOT Based Parking Lot for Smart City

Abstract: This project presents an intelligent parking lot system using infrared sensors to detect available parking spaces in realtime. The system improves user convenience and reduces traffic congestion by providing accurate parking availability data. Infrared sensors, chosen for their reliability and low power consumption, are installed in each parking slot. The sensor data is processed centrally and shared via thingspeak website and digital displays. The system will be piloted in a section of the parking lot, with calibration ensuring accuracy. Results show reduced time searching for parking and decreased congestion. The system's scalability, energy efficiency, and real-time capabilities enhance user experience and optimize parking operations. Future developments include predictive analytics and expansion to other hightraffic areas.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-27
DOI
https://doi.org/10.22214/ijraset.2024.65474
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
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article

IOT Based Parking Lot for Smart City

Vivek Agrawal, Vaishali Rajput, A K Rathi, Adwait Kavishwar et al.
International Journal for Research in Applied Science and Engineering Technology
Smart Parking Systems Research
article

IOT Based Parking Lot for Smart City

Vivek Agrawal, Vaishali Rajput, A K Rathi, Adwait Kavishwar, Adnaan Momin, Yash Agiwal, Aditya Nagdive
article en

Abstract

Abstract: This project presents an intelligent parking lot system using infrared sensors to detect available parking spaces in realtime. The system improves user convenience and reduces traffic congestion by providing accurate parking availability data. Infrared sensors, chosen for their reliability and low power consumption, are installed in each parking slot. The sensor data is processed centrally and shared via thingspeak website and digital displays. The system will be piloted in a section of the parking lot, with calibration ensuring accuracy. Results show reduced time searching for parking and decreased congestion. The system's scalability, energy efficiency, and real-time capabilities enhance user experience and optimize parking operations. Future developments include predictive analytics and expansion to other hightraffic areas.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Artificial Intelligence in Medicine (Canada) (CA)
Affordable and clean energy
Openalex Percentile: Top 77%
Smart Parking Systems Research
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IOT Based Parking Lot for Smart City — Vivek Agrawal, Vaishali Rajput, et al. · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS