scholarly journals Lifecycle Management in the Smart City Context: Smart Parking Use-Case

2016 ◽  
pp. 631-641 ◽  
Author(s):  
Ahmed Hefnawy ◽  
Taha Elhariri ◽  
Abdelaziz Bouras ◽  
Chantal Cherifi ◽  
Jeremy Robert ◽  
...  
Keyword(s):  
Smart City ◽  
Use Case ◽  
Smart Parking ◽  
Lifecycle Management

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.

Relevance of lifecycle management to smart city development

2018 ◽  
Vol 22 (5) ◽  
pp. 351 ◽  
Author(s):  
Ahmed Hefnawy ◽  
Abdelaziz Bouras ◽  
Chantal Cherifi
Keyword(s):  
Smart City ◽  
City Development ◽  
Lifecycle Management

scholarly journals A Research on Smart Car Parking System using IOT

2021 ◽  
Vol 9 (VII) ◽  
pp. 1109-1113
Author(s):  
Ashvini Uke
Keyword(s):  
Urban Areas ◽  
Software Package ◽  
The Internet ◽  
Use Case ◽  
Custom Made ◽  
Parking System ◽  
Smart Parking ◽  
The Internet Of Things ◽  
Information Today

The internet of things plays an important role of connecting numerous physical devices and automating them to create human’s life easier. By exploitation sensors, actuators and numerous software package therefore we are able to connect objects and transfer information. Today government has created priority to create cities good across the country. To create a town good, we've to try and do numerous things that may be developed exploitation net of things and good parking is one in all them. With the event of road infrastructure, there's a big increase in variety of personal vehicles which ends in hold up, directly effecting the flow of traffic, and lifetime of voters. Parking becomes a big downside within the urban areas. The analysis paper proposes a wise parking system to unravel the present parking downside at reasonable value. The projected smart Parking system consists of associate on-the-scene preparation of associate IOT module that’s custom-made monitor and signalizes the state of convenience of each single automobile car parking zone. A mobile page is to boot providing permits associate user to see the availability of automobile car parking zone and book a parking slot consequently. Towards the tip, the complete projected system shows the operative of the system in kind of a use case that proves the correctness of the projected model.

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

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%.

scholarly journals Product lifecycle management with provenance management and virtual models: an industrial use-case study

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 1190-1195 ◽  
Author(s):  
Iman Morshedzadeh ◽  
Jan Oscarsson ◽  
Amos Ng ◽  
Manfred Jeusfeld ◽  
Janne Sillanpaa
Keyword(s):  
Product Lifecycle Management ◽  
Use Case ◽  
Product Lifecycle ◽  
Provenance Management ◽  
Virtual Models ◽  
Industrial Use ◽  
Lifecycle Management

An Intelligent Parking System in Smart Cities Using IoT

2018 ◽  
pp. 155-180 ◽  
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.

A Game Theoretic Mechanism for Management of IoT Resources in a Smart City

2021 ◽  
Vol 14 (4) ◽  
pp. 107-121
Author(s):  
Priya Matta ◽  
Bhaskar Pant ◽  
Sachin Sharma
Keyword(s):  
Smart City ◽  
Physical World ◽  
Point Of View ◽  
Use Case ◽  
Theoretic Approach ◽  
Major Focus ◽  
Resource Manager ◽  
Multiple Resources ◽  
Game Theoretic ◽  
Game Theoretic Approach

IoT is emerging in all the dimensions of the physical world, and smart city is one of the most promising among them. This article focuses on the efficient utilisation of resources in an IoT system. IoT resources have been identified and classified in context to a smart city. The number and type of resources may grow dynamically in a smart city, and user's demand may also vary dynamically. Therefore, to maximise the throughput of the system, the resources must be deployed, managed, and used efficiently. This manuscript has identified the concept, role, and composition of the resource manager with respect to an IoT system and presents a game theoretic approach to manage the resources from provider point of view. Using a complete and dynamic use case, including the multiple resources, it illustrates the usability of the proposed approach. The major focus is on the efficient use of IoT resources in a smart city.

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