Search Optimization for parking lot using Machine Learning Techniques

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Harscini A; Asan Nainar M

Search Optimization for parking lot using Machine Learning Techniques

Authors: Harscini A, Asan Nainar M

Unique Paper ID: 178123
Volume: 11
Issue: 12
PageNo: 2847-2853

Keywords: No Keywords Found

Abstract:
In densely populated urban environments, the search for convenient parking often contributes to significant traffic congestion, fuel consumption, and lost time. This project introduces a smart parking solution through a web and mobile-based platform that enables users to list and reserve parking spaces in real-time. Users with available spaces—either temporary or permanent—can register their spots by entering details such as location, contact information, and a brief description of the space. Other users can seamlessly search for nearby parking based on their location, view available slots, and make instant bookings. Once a space is reserved and occupied, it is automatically removed from the listing to prevent duplicate bookings. A machine learning algorithm dynamically calculates the parking charges by evaluating demand levels, parking duration, and location-based factors. The system incorporates secure online payments via an integrated gateway, streamlining the user experience. Built using HTML, CSS, and JavaScript for the frontend, Python or PHP for the backend, and MySQL for data management, this application serves as a comprehensive and scalable solution for urban parking challenges. By optimizing parking availability and automating pricing, the system enhances efficiency, reduces congestion, and supports better space utilization in cities.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2847-2853

Search Optimization for parking lot using Machine Learning Techniques

Available:https://ijirt.org/article?manuscript=178123

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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