Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data

2021 ◽  
Vol 21 (3) ◽  
pp. 1-21
Author(s):  
Francesco Piccialli ◽  
Fabio Giampaolo ◽  
Edoardo Prezioso ◽  
Danilo Crisci ◽  
Salvatore Cuomo
Keyword(s):  
Deep Learning ◽  
Smart City ◽  
Predictive Analytics ◽  
Positive Impact ◽  
Search Time ◽  
Building Blocks ◽  
Ensemble Technique ◽  
Smart Parking ◽  
Polluting Emissions ◽  
The City

Nowadays, a sustainable and smart city focuses on energy efficiency and the reduction of polluting emissions through smart mobility projects and initiatives to “sensitize” infrastructure. Smart parking is one of the building blocks of intelligent mobility, innovative mobility that aims to be flexible, integrated, and sustainable and consequently integrated into a Smart City. By using the Internet of Things (IoT) sensors located in the parking areas or the underground car parks in combination with a mobile application, which indicates to citizens the free places in the different areas of the city and guides them toward the chosen parking, it is possible to reduce air pollution and fluidifying noise traffic. In this article, we present and discuss an innovative Deep Learning-based ensemble technique in forecasting the parking space occupancy to reduce the search time for parking and to optimize the flow of cars in particularly congested areas, with an overall positive impact on traffic in urban centres. A genetic algorithm has also been used to optimize predictors parameters. The main goal is to design an intelligent IoT-based service that can predict, in the next few hours, the parking spaces occupancy of a street. The proposed approach has been assessed on a real IoT dataset composed by over than 15M of collected sensor records. Obtained results demonstrate that our method outperforms both single predictors and the widely used strategy of the mean providing inherently robust predictions.

scholarly journals Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 456-478 ◽  
Author(s):  
Irene Lebrusán ◽  
Jamal Toutouh
Keyword(s):  
Smart City ◽  
Road Traffic ◽  
Positive Impact ◽  
Noise Levels ◽  
Pm 2.5 ◽  
Population Concentration ◽  
Traffic Reduction ◽  
Definition Of ◽  
Pm 10 ◽  
The City

Population concentration in cities brings new risks as an increase in pollution, which causes urban health problems. In order to address this problem, traffic reduction measures are being implemented as pedestrianization areas; they are the definition of Low Emissions Zones (LEZs). When the effectiveness of these types of measures is in doubt, smart city tools provide data that can be used to scientifically asses their impact. This article analyzes the situation of Madrid Central (Spain), a LEZ subject to controversy. We apply statistical and regression analyses to evaluate the effectiveness of this measure to reduce air pollution and outdoor noise. According to the results, this LEZ was able to significantly reduce NO 2 , PM 2.5 , and PM 10 concentration locally, having the same positive impact in the rest of the city. In terms of noise, this measure was able to mitigate background noise levels generated by road traffic.

Smart Parking in Smart Cities Using Secure IoT

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.

Smart Parking in Smart Cities Using Secure IoT

2019 ◽  
pp. 165-188
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.

scholarly journals IMPLEMENTASI KEBIJAKAN SMART GOVERNMENT DALAM RANGKA MEWUJUDKAN SMART CITY DI KOTA BANDUNG

2019 ◽  
Vol 44 (2) ◽  
pp. 81-106
Author(s):  
Annisa Rahmadanita ◽  
Eko Budi Santoso ◽  
Sadu Wasistiono
Keyword(s):  
Policy Implementation ◽  
Smart City ◽  
Technology Development ◽  
Positive Impact ◽  
Smart Cities ◽  
City Government ◽  
Government Policies ◽  
Target Groups ◽  
The City ◽  
Smart Government

The application of smart city (especially in the aspect of smart government) in the city of Bandung is still focused on technology development, and seems to ignore the human and institutional dimensions. This study aims to describe and analyze the implementation of smart government policies in order to realize a smart city in the city of Bandung. The researcher used the theory presented by Grindle as a guide related to policy implementation. The researcher used a qualitative method with a descriptive approach. In collecting data, researchers conducted interviews with 37 informants, made observations with the participant as observer method, and collected documents about the implementation of smart government policies in order to realize smart cities. The results showed that (1) implementation of smart government policies in order to realize smart cities in the city of Bandung in general has a positive impact on target groups (target groups). Context of implementation (context of implementation) shows a condition that is not good while Content of policy shows good conditions. In this study the content of policy factor has more influence on outcomes / outcomes than factors of context of implementation. Because the implementation of the smart government policy in the city of Bandung is more influenced by content of policy than context of implementation, the researchers suggested to the Bandung City Government to maximize various conditions in the Content of Policy in order to improve the outcomes of implementing smart government policies that have been implemented.Keywords: Policy Implementation, Smart Government, Smart City

Security for Smart Vehicle in IOT

2019 ◽  
pp. 289-296
Author(s):  
Deepa Sethuramalingam ◽  
Brindha N. ◽  
S. Balamurugan
Keyword(s):  
Smart City ◽  
Parking System ◽  
Parking Management ◽  
Smart Parking ◽  
Smart Mobility ◽  
The City ◽  
Smart Vehicle

The smart city is not possible without a smart road. It can provide citizens with smart mobility. In order to overcome the complications handled by the parking system, smart parking has been developed. A model IoT-based parking system that uses a unified component called parking meter to address the issues as well as to provide smart parking management throughout the city is proposed in this chapter.

scholarly journals Sustainable Mobility and the Smart City: A Vision of the City of the Future: The Case Study of Cracow (Poland)

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7936
Author(s):  
Edyta Bielińska-Dusza ◽  
Monika Hamerska ◽  
Agnieszka Żak
Keyword(s):  
Public Transport ◽  
Smart City ◽  
Structural Equation ◽  
Positive Impact ◽  
Urban Transport ◽  
Added Value ◽  
Equation Modeling ◽  
Sustainable Mobility ◽  
The Future ◽  
The City

The vision of the smart city is inextricably linked with the concepts of intelligent transport, sustainable mobility and managerial decision making. Cities of the future not only entail the use of new technology, but also increasingly the interpenetration of technological and social aspects, with the simultaneous involvement of urban space users in the creation of such technologies. This provides an opportunity to introduce desired changes and create a more balanced space with a higher quality of life and improved energy efficiency. The article discusses the concepts of sustainable development and sustainable mobility with a particular emphasis on issues related to the smart city. The authors reviewed the various smart city solutions that have been implemented in the field of urban transport in Cracow, whose authorities have taken steps over the last few years to make the city smarter and more modern. The aim of the research was to assess the contribution made by smart city solutions to improving the attractiveness and reliability of public transport in Poland’s second-largest city. The undoubted added value of this analysis is the application of the Structural Equation Modeling (SEM) method to evaluate the implemented solutions. It should be pointed out that such an analysis constitutes a new approach in this area. Until now, these models have been used to assess consumer behavior. The results showed that some of the implemented intelligent solutions increase the attractiveness of public transport in Cracow, but this does not square with users’ assessment of reliability. According to users, ecological solutions have no impact on the attractiveness of public transport. Nor do conveniences such as bus lanes, giving priority to public transport vehicles at intersections, and adjusting traffic light regulation to traffic volume, have a positive impact on perceptions of public transport as a reliable means of getting around the city. The results may be of particular importance for the city’s authorities and other stakeholders engaged in strategic activities and the building of a city of the future.

scholarly journals Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Dan Shi ◽  
Lixin Song
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Urban Planning ◽  
Smart City ◽  
Quantitative Research ◽  
Smart Cities ◽  
Learning Technology ◽  
City Image ◽  
Urban Image ◽  
The City

City image is the observer’s subjective impression of the city image. It is an important content of urban geography and planning research and has important guiding significance for shaping a unique urban space. Cognitive research on traditional urban imagery is mainly by means of questionnaires and image sketches. It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. With the advent of the era of big data and the development of Internet technology, there are more and more quantitative research results on smart city image cognition with the help of big data and deep learning technology. It will be a feasible way to apply it to urban image research. This article combines the development and transformation of smart cities with the transformation of urban planning and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as the data source, and deep learning as the core technology. The theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. The city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation. Specific cities are taken as examples to verify the applicability and scientificity of the cognitive methods and models, so as to enhance the practicality and applicability of urban imagery in urban planning. At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.

scholarly journals Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

2020 ◽  
Author(s):  
Irene Lebrusán ◽  
Jamal Toutouh
Keyword(s):  
Smart City ◽  
Road Traffic ◽  
Positive Impact ◽  
Pm 2.5 ◽  
The Road ◽  
Population Concentration ◽  
Traffic Reduction ◽  
Definition Of ◽  
Pm 10 ◽  
The City

Population concentration in cities brings new risks as an increase in pollution, which causes urban health problems. In order to address this problem, traffic reduction measures are being implemented, as pedestrianization areas and the definition of Low Emissions Zones (LEZ). When the effectiveness of these types of measures is in doubt, smart city tools provide data that can be used to scientifically asses their impact. This article analyzes the situation of Madrid Central (Spain), a LEZ subject to controversy. We apply statistical and regression analyses to evaluate the effectiveness of this measure to reduce air pollution and outdoor noise. According to the results, this LEZ was able to significantly reduce NO$_2$, PM$_{2.5}$, and PM$_{10}$ concentration locally, having the same positive impact in the rest of the city. In terms of noise, this measure is able to mitigate background noise levels generated by the road traffic.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

Sign in / Sign up

Export Citation Format

Share Document