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.
Authors
- Vivek Agrawal (ORCID: https://orcid.org/0000-0001-6304-0294)
- Vaishali Rajput
- A K Rathi
- Adwait Kavishwar
- Adnaan Momin
- Yash Agiwal
- Aditya Nagdive
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
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
- 0.00