An IoT-Based Smart Parking Framework for Smart Cities

Humanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. Overpopulation of cities demands the development of solid strategic plannings that uses infrastructure, innovation, and technology to adapt to rapid changes. To improve mobility in cities with a larger and larger vehicle fleet, a novel sensing solution that is the cornerstone of a smart parking system, the smart vehicular presence sensor (SPIN-V, in its Spanish abbreviation), is presented. The SPIN-V is composed of a small single-board computer, distance sensor, camera, LED indicator, buzzer, and battery and devoted to obtain the status of a parking space. This smart mobility project involves three main elements, namely the SPIN-V, a mobile application, and a monitoring center, working together to monitor, control, process, and display the parking space information in real-time to the drivers. In addition, the design and implementation of the three elements of the complete architecture are presented.

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Reservation-based multi-objective smart parking approach for smart cities

2016 IEEE International Smart Cities Conference (ISC2) ◽

10.1109/isc2.2016.7580840 ◽

2016 ◽

Cited By ~ 8

Author(s):

Naourez Mejri ◽

Mouna Ayari ◽

Rami Langar ◽

Leila Saidane

Keyword(s):

Smart Cities ◽

Multi Objective ◽

Smart Parking

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New Transportation Systems for Smart Cities

Civil and Environmental Engineering ◽

10.4018/978-1-4666-9619-8.ch072 ◽

2016 ◽

pp. 1569-1593

Author(s):

Christos G. Cassandras

Keyword(s):

Traffic Management ◽

Smart Cities ◽

Transportation Systems ◽

Urban Environments ◽

Gradient Estimates ◽

Light Cycle ◽

Traffic Light ◽

Cycle Lengths ◽

Smart Parking ◽

Charging Stations

Poor traffic management in urban environments is responsible for congestion, unnecessary fuel consumption and pollution. Based on new wireless sensor networks and the advent of battery-powered vehicles, this chapter describes three new systems that affect transportation in Smart Cities. First, a Smart Parking system which assigns and reserves an optimal parking space based on the driver's cost function, combining proximity to destination and parking cost. Second, a system to optimally allocate electric vehicles to charging stations and reserve spaces for them. Finally, we address the traffic light control problem by viewing the operation of an intersection as a stochastic hybrid system. Using Infinitesimal Perturbation Analysis (IPA), we derive on-line gradient estimates of a cost metric with respect to the controllable green and red cycle lengths and iteratively adjust light cycle lengths to improve (and possibly optimize) performance, as well as adapt to changing traffic conditions.

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Study and Research on IoT and Big Data Analysis for Smart City Development

Scalable Computing Practice and Experience ◽

10.12694/scpe.v22i2.1898 ◽

2021 ◽

Vol 22 (2) ◽

Author(s):

Haixia Yu ◽

Ion Cosmin Mihai ◽

Anand Srivastava

Keyword(s):

Big Data ◽

Smart City ◽

Smart Cities ◽

Data Generation ◽

City Development ◽

Smart Meters ◽

Smart Systems ◽

Smart Parking ◽

Iot Devices ◽

Time Required

With the development of smart meters, like Internet of Things (IoT), various kinds of electronic devices are equipped with each smart city. The several aspects of smart cities are accessible and these technologies enable us to be smarter. The utilization of the smart systems is very quick and valuable source to fulfill the requirement of city development. There are interconnection between various IoT devices and huge amount of data is generated when they communicate each other over the internet. It is very challenging task to effectively integrate the IoT services and processing big data. Therefore, a system for smart city development is proposed in this paper which is based on the IoT utilizing the analytics of big data. A complete system is proposed which includes various types of IoT-based smart systems like smart home, vehicular networking, and smart parking etc., for data generation. The Hadoop ecosystem is utilized for the implementation of the proposed system. The evaluation of the system is done in terms of throughput and processing time. The proposed technique is 20% to 65% better than the existing techniques in terms of time required for processing. In terms of obtained throughput, the proposed technique outperforms the existing technique by 20% to 60%.

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Smart Parking: A Literature Review from the Technological Perspective

Applied Sciences ◽

10.3390/app9214569 ◽

2019 ◽

Vol 9 (21) ◽

pp. 4569 ◽

Cited By ~ 9

Author(s):

Jhonattan J. Barriga ◽

Juan Sulca ◽

José Luis León ◽

Alejandro Ulloa ◽

Diego Portero ◽

...

Keyword(s):

Carbon Dioxide Emissions ◽

Scientific Community ◽

Smart Cities ◽

High Growth ◽

Smart Parking ◽

The Subject ◽

Source Of Information ◽

The Internet Of Things ◽

Selection Of

The development and high growth of the Internet of Things (IoT) have improved quality of life and strengthened different areas in society. Many cities worldwide are looking forward to becoming smart. One of the most popular use cases in smart cities is the implementation of smart parking solutions, as they allow people to optimize time, reduce fuel consumption, and carbon dioxide emissions. Smart parking solutions have a defined architecture with particular components (sensors, communication protocols, and software solutions). Although there are only three components that compose a smart parking solution, it is important to mention that each component has many types that can be used in the deployment of these solutions. This paper identifies the most used types of every component and highlights usage trends in the established analysis period. It provides a complementary perspective and represents a very useful source of information. The scientific community could use this information to decide regarding the selection of types of components to implement a smart parking solution. For this purpose, herein we review several works related to smart parking solutions deployment. To achieve this goal, a semi-cyclic adaptation of the action research methodology combined with a systematic review is used to select papers related to the subject of study. The most relevant papers were reviewed to identify subcategories for each component; these classifications are presented in tables to mark the relevance of each paper accordingly. Trends of usage in terms of sensors, protocols and software solutions are analyzed and discussed in every section. In addition to the trends of usage, this paper determines a guide of complementary features from the type of components that should be considered when implementing a smart parking solution.

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An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications

Sensors ◽

10.3390/s19163594 ◽

2019 ◽

Vol 19 (16) ◽

pp. 3594 ◽

Cited By ~ 5

Author(s):

Hung Cao ◽

Monica Wachowicz

Keyword(s):

Internet Of Things ◽

Data Streams ◽

Urban Governance ◽

Smart Cities ◽

Data Driven ◽

Business Decisions ◽

Cloud Architecture ◽

Smart Parking

Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.

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An Intelligent Parking System in Smart Cities Using IoT

Exploring the Convergence of Big Data and the Internet of Things - Advances in Data Mining and Database Management ◽

10.4018/978-1-5225-2947-7.ch012 ◽

2018 ◽

pp. 155-180 ◽

Cited By ~ 1

Author(s):

Amardeep Das ◽

Prasant Kumar Dash ◽

Brojo Kishore Mishra

Keyword(s):

Smart City ◽

Smart Cities ◽

Geographic Area ◽

Knowledge Based ◽

Knowledge Based Economy ◽

Parking System ◽

Telecommunications Network ◽

Wireless Broadband ◽

Parking Management ◽

Smart Parking

Smart City is the product of accelerated development of the new generation information technology and knowledge-based economy, based on the network combination of the Internet, telecommunications network, broadcast network, wireless broadband network and other sensors networks where Internet of Things technology (IoT) as its core. Traffic congestion caused by vehicle is an alarming problem at a global scale and it has been growing exponentially. Searching for a parking space is a routine (and often frustrating) activity for many people in cities around the world. This search burns about one million barrels of the world's oil every day. A smart Parking system typically obtains information about available parking spaces in a particular geographic area and process is real-time to place vehicles at available positions. In our proposed chapter, we will be discussing the advanced features of IoT in order to development an intelligent parking management system in a smart city i.e. called as Smart Parking system.

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Smart Parking in Smart Cities Using Secure IoT

Research Anthology on Blockchain Technology in Business, Healthcare, Education, and Government ◽

10.4018/978-1-7998-5351-0.ch082 ◽

2021 ◽

pp. 1484-1507

Author(s):

G. Indra Navaroj ◽

E.Golden Julie

Keyword(s):

Smart City ◽

Smart Cities ◽

Security And Privacy ◽

Sensitive Data ◽

Parking System ◽

User Data ◽

Information And Communication ◽

Smart Parking ◽

The City ◽

Privacy Issues

The city is transforming into the smart city using information and communication technology (ICT), and the major role in economic development is building an infrastructure to enable greater connectivity between citizen service, energy, economics, and government. A smart city can monitor the real-world scenario in real time and support the intelligent services to both locals and travelers. Due to urbanization, people move from village to city. Increase the population in city also causes an increase in vehicles. Here, parking the vehicle securely is a challenging problem. In a smart parking system, all the devices are connected to the internet. Hackers and third parties easily access the user data or sensitive data. Smart parking system application controls the traffic, air pollution, and city functions making it easy to park the vehicle and reduce accidents. Many of the problems arise in the security and privacy of the sensitive data. In this chapter, the authors discuss security and privacy issues in smart parking systems using IoT.

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