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Related Experiment Video

Updated: Apr 20, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

A cloud-based car parking middleware for IoT-based smart cities: design and implementation.

Zhanlin Ji¹, Ivan Ganchev², Máirtín O'Droma³

¹Telecommunications Research Centre, University of Limerick, Limerick, Ireland. Zhanlin.Ji@ul.ie.

Sensors (Basel, Switzerland)

|November 28, 2014

Summary

This summary is machine-generated.

This study introduces cloud-based intelligent car parking services for smart cities, leveraging the Internet of Things (IoT). The proposed system enhances user experience through advanced software solutions and a middleware platform.

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Area of Science:

Computer Science
Smart City Technologies
Internet of Things (IoT)

Background:

Smart cities require efficient resource management, including urban mobility solutions.
The Internet of Things (IoT) paradigm offers a framework for developing integrated smart city services.
Existing car parking systems often lack intelligence and seamless user integration.

Purpose of the Study:

To present a generic concept for cloud-based intelligent car parking services within smart cities.
To outline a middleware and operational platform for IoT-enabled smart city applications.
To demonstrate a practical implementation of an intelligent car parking system in a university campus environment.

Main Methods:

Development of a high-level middleware architecture for cloud-based services.
Illustration of a corresponding operational platform for smart city integration.
Implementation of a university campus car parking system using Kafka/Storm/Hbase clusters, distributed NoSQL, a rule engine, and mobile applications.

Main Results:

A functional cloud-based intelligent car parking system was designed, implemented, and operated.
The system demonstrated the feasibility of providing enhanced parking services.
The 'Always Best Connected and best Served' (ABC&S) paradigm was applied to optimize user experience.

Conclusions:

Cloud-based intelligent car parking services are a viable and integral component of IoT operational platforms for smart cities.
The proposed middleware and software solutions effectively support the delivery of advanced car parking services.
The implemented system provides a model for improving urban mobility and user satisfaction in smart environments.