Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information

Barbancho, Julio; Ropero, Jorge; Luque, J.; Caraballo, Alejandro; León, Carlos

doi:10.3390/su11236549

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…The sensor in the Motion Sensor permits to adjust dynamically the operation of lamps to the amount of natural light. It is capable of setting best lighting parameters for the residents and space around the building saving the energy (Barbancho, 2019). • Door/Window Sensor -a sensor of opened doors, windows, gates with an embedded probe for temperature measurement.…”

Section: Most Essential Elements Of Management System Utilised In Sma...mentioning

confidence: 99%

Managing Knowledge Through the Internet of Everything on an Example of Smart Estate

Kiełtyka

2022

ECKM

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The paper presents the research pertaining to various forms of communication conducted in so called smart housing estate. The estate has been fitted with various types of equipment (sensors, tags, transducers), whose task is to provide information. The collected information is a source of knowledge that can be further utilised to ensure efficient management of buildings and the possibility of their communication with the environment. The issues presented in the paper pertain to the analysis of major situational phenomena that occur in a smart estate. The main tool of knowledge management constitute digital operations characteristic of the Internet of Everything. The considerations cover, among others, forms of monitoring of the most important areas of the estate, primarily with regard to ensuring the safety of the residents. By utilising smartphones one can acquire knowledge about monitoring own premises (outside and inside), opening hours of individual shops, post offices, chemists, libraries, etc. The knowledge gathered in this way allows for an insight, among others, into current timetables of all means of communication. It also allows for tracking emergencies with a possibility of informing the relevant services in advance. The paper presents the research that has been conducted among the persons that live in a smart estate, as well as persons who intend to dwell in one. The analysed issues included: residents’ knowledge about smart home solutions, areas in which residents utilise smart home solutions. managing the collected knowledge so as to introduce energy saving appliances. The paper refers to the advantages of utilising smart communication systems in residential buildings in a smart estate. It presents utilisation of the IoE in communicating with any element of a smart home in a smart estate through internet service based on cloud computing. It also characterizes the most vital elements of smart estate management. In a symbolic manner it presents elements, devices, equipment, objects, which based on the accumulated knowledge can be controlled through application of intelligent communication systems operating based on the concept of the Internet of Everything.

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Section: Most Essential Elements Of Management System Utilised In Sma...mentioning

confidence: 99%

Managing Knowledge Through the Internet of Everything on an Example of Smart Estate

Kiełtyka

2022

ECKM

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“…Concerning planning for smart mobility, the issues concern intelligent transportation systems to improve safety and efficiency of the urban services [179][180][181], creating new services for citizen such as parking guidance and information [182,183], and use mobility data to support decision making [178].…”

Section: Issues For Urban Planningmentioning

confidence: 99%

Smart City Ontologies and Their Applications: A Systematic Literature Review

Nicola

Villani

2021

Sustainability

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The increasing interconnections of city services, the explosion of available urban data, and the need for multidisciplinary analysis and decision making for city sustainability require new technological solutions to cope with such complexity. Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge. We investigate how and to what extent ontologies have been used to support smart city services and we provide a comprehensive reference on what problems have been addressed and what has been achieved so far with ontology-based applications. To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart cities. Based on the result of the review process, we also propose a classification of the sub-domains of the city addressed by the ontologies we found, and the research issues that have been considered so far by the scientific community. We highlight those for which semantic technologies have been mostly demonstrated to be effective to enhance the smart city concept and, finally, discuss in more details about some open problems.

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“…The intelligent transport system (ITS) is currently being developed for the road transport network, and the latest information and communication technology are being worked with. Many ITS applications, such as traffic control, emergency detection, parking guidance, etc., have extensively incorporated deep learning, and they showed significant performance improvement [1][2][3]. This study reports a novel design of an intelligent traffic forecasting system using deep learning, applied alongside ITS for efficient driving and urban planning.…”

Section: Introductionmentioning

confidence: 99%

Weather-Aware Long-Range Traffic Forecast Using Multi-Module Deep Neural Network

Ryu

Kim

2020

Applied Sciences

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This study proposes a novel multi-module deep neural network framework which aims at improving intelligent long-term traffic forecasting. Following our previous system, the internal architecture of the new system adds deep learning modules that enable data separation during computation. Thus, prediction becomes more accurate in many sections of the road network and gives dependable results even under possible changes in weather conditions during driving. The performance of the framework is then evaluated for different cases, which include all plausible cases of driving, i.e., regular days, holidays, and days involving severe weather conditions. Compared with other traffic predicting systems that employ the convolutional neural networks, k-nearest neighbor algorithm, and the time series model, it is concluded that the system proposed herein achieves better performance and helps drivers schedule their trips well in advance.

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Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information

Cited by 4 publications

References 23 publications

Managing Knowledge Through the Internet of Everything on an Example of Smart Estate

Managing Knowledge Through the Internet of Everything on an Example of Smart Estate

Smart City Ontologies and Their Applications: A Systematic Literature Review

Weather-Aware Long-Range Traffic Forecast Using Multi-Module Deep Neural Network

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