A Predictive AI and IoT-Based Smart Parking and Vehicle Tracking Framework for Urban Mobility
Year: 2025
Type: article
Abstract: Rapid urbanization and increasing vehicle density have intensified the challenges of effective parking management in modern cities. Conventional parking systems often lack automation, predictive capabilities, and real-time visibility. This study presents a unified AI and IoT-based Smart Parking and Vehicle Tracking Framework designed to optimize parking space utilization and improve user convenience. The system leverages IoT sensors for real-time data acquisition, machine learning models for predictive analysis, and a web interface for interactive user access. The proposed framework enhances parking efficiency, minimizes traffic congestion, and contributes to sustainable urban mobility through data-driven decision-making.
Author: Pranav Sunil Upasani
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7090889392
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