Optimizing Parking Management with Spotio: An IoT-Driven Approach

Spotio” is an IoT-based Smart Parking System designed to optimize parking management and enhance the user experience in urban areas. By integrating smart sensors into parking spaces, Spotio provides real-time updates on parking availability, enabling users to easily find and reserve spots via a mobile app. The system reduces traffic congestion and improves space utilization, while data analytics help facility managers make informed decisions for greater operational efficiency. Spotio offers a sustainable, convenient, and user-friendly solution for modern urban parking challenges.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15480494
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Parking Management with Spotio: An IoT-Driven Approach

Zenodo (CERN European Organization for Nuclear Research)
Smart Parking Systems Research
article

Optimizing Parking Management with Spotio: An IoT-Driven Approach

article en

Abstract

Spotio” is an IoT-based Smart Parking System designed to optimize parking management and enhance the user experience in urban areas. By integrating smart sensors into parking spaces, Spotio provides real-time updates on parking availability, enabling users to easily find and reserve spots via a mobile app. The system reduces traffic congestion and improves space utilization, while data analytics help facility managers make informed decisions for greater operational efficiency. Spotio offers a sustainable, convenient, and user-friendly solution for modern urban parking challenges.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 55%
Smart Parking Systems Research
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Optimizing Parking Management with Spotio: An IoT-Driven Approach · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS