IoT-Integrated Valet Parking for Shopping Malls and Retail Centers

Priyadarshini, S. and Arunachalam, G. and Sarasu, R. and Sujatha, M. and Muthukumaran, D. and Rajmohan, M. (2024) IoT-Integrated Valet Parking for Shopping Malls and Retail Centers. 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE COMPUTING AND SMART SYSTEMS, ICSCSS 2024. pp. 334-339.

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Abstract

The increasing popularity of shopping malls and retail complexes in recent decades has made parking lot management a pressing concern. Congestion, customer irritation, and wasted space are common results of the status quo in parking management. An innovative approach, Internet of Things-Based Valet Parking, is presented in this system. Due to IoT-connected valet parking, shopping malls, and retail centers, valet parking is about to be upgraded. This advanced system combines sensor technologies, real-time data analytics, and automated valet services, all of which have significant advantages. It improves the convenience of shopping by maximizing available parking places and minimizing the time spent looking for one. The fundamentals of the IoT-connected Valet Parking system include using sensors in parking lots, data gathering and processing methods, and incorporating mobile apps for motorists' ease of access. It discusses this approach's possible environmental and economic benefits, including lower carbon emissions and more income for mall owners. The security and privacy of the customers' information is also considered. It examines the potential difficulties and restrictions to working around them. Implementing valet parking with the IoT presents several challenges, such as ensuring reliable sensors, secure data, a reliable system, and a difficult interface with current infrastructure.

Item Type: Article
Uncontrolled Keywords: Valet Parking System, Real-time Data Analytics, Automated Valet Services, Parking Space Optimization, Parking Solutions
Subjects: Computer Science > Artificial Intelligence
Computer Science > Computer Science
Divisions:
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 06 Feb 2026 07:14
URI: https://ir.vmrfdu.edu.in/id/eprint/7298

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