Special issue on smart cities and its applications

Shin, Seokjoo; Sohn, Keemin; Park, Dongjoo; Choi, Jin Kyeong

doi:10.4218/etr2.12467

ETRI Journal

2022

DOI: 10.4218/etr2.12467

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Special issue on smart cities and its applications

Seokjoo Shin

Keemin Sohn

Dongjoo Park

et al.

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Cited by 4 publications

(1 citation statement)

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“…Reduced tra c and improved municipal e ciency would bene t from the same measures [8]. Tra c management keeps things moving while improving transportation systems' safety, security, and trustworthiness by implementing various protocols [9]. ese e orts use an intelligent transportation system (ITS), services, and projects on a day-to-day basis to enhance the road network performance [10].…”

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confidence: 99%

Feasibility of Economic Forecasting Model Based on Intelligent Algorithm of Smart City

2022

Mobile Information Systems

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Smart cities make better use of space and have less traffic, cleaner air, and more efficient municipal services, improving people’s quality of life. The vast number of vehicles continually seeking to reach crowded spots in smart cities complicates acquiring a public parking space. It presents challenges for both traffic and residents. With such vast populations, road congestion is a serious challenge. It wastes vital resources such as fuel, money, and, most importantly, time. Finding a good location to park is one of the reasons for traffic congestion on the highway. This paper proposes a deep learning-based economic forecasting model (DL-EFM) for long-term economic growth in smart cities. Traffic management is vital for cities to guarantee that people and products can move freely across the city. Many automobiles attempting to reach crowded areas in smart cities make getting a public parking place difficult. It is inconvenient for both drivers and residents. Different traffic management authorities have implemented an artificial neural network (ANN) to resolve the issue, and modern vehicle systems have been coupled with intelligent parking solutions. The experimental outcome of the deep learning-based economic forecasting model improves traffic estimation, accuracy prediction in traffic flow, traffic management, and smart parking when compared to existing methods.

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Feasibility of Economic Forecasting Model Based on Intelligent Algorithm of Smart City

2022

Mobile Information Systems

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Predicting Economic Advantages in Smart Innovative City Development: A CSO-MCNN Approach

Guo,

2024

J Knowl Econ

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Exploring perceptions of smart, modular living in the UK: a think aloud study

Seymour,

Xenitidou,

Timotijevic

et al. 2024

Behaviour & Information Technology

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Special issue on smart cities and its applications

Cited by 4 publications

References 12 publications

Feasibility of Economic Forecasting Model Based on Intelligent Algorithm of Smart City

Feasibility of Economic Forecasting Model Based on Intelligent Algorithm of Smart City

Predicting Economic Advantages in Smart Innovative City Development: A CSO-MCNN Approach

Exploring perceptions of smart, modular living in the UK: a think aloud study

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