From a Traditional City to a Smart City: The Measurement of Cities’ Readiness for Transition, Egypt as a Case Study DOI Creative Commons
Ahmed Hassebo,

Mohamed Tealab,

M. Ben Hamouda

et al.

Urban Science, Journal Year: 2024, Volume and Issue: 8(4), P. 212 - 212

Published: Nov. 15, 2024

The transition from traditional legacy cities to smart represents a pivotal juncture in urban development and governance. As worldwide grapple with the challenges of rapid urbanization, resource constraints, need enhance quality life for their citizens, concept “smart city” has gained significant attention. This paper delves into multifaceted process transformation, shedding light on essential criteria considerations that guide city’s conversion city. To provide comprehensive framework process, this outlines computer program utilized measure readiness transform city transformation encompass technological innovation, data-driven decision-making, infrastructure development, effective governance models. It explores significance citizen engagement, privacy concerns, sustainability shaping process. Case studies potential Egypt are ready be successfully transformed presented illustrate how these have been applied real-world contexts. Ultimately, provides roadmap planners, policymakers, stakeholders, offering guidance elements required navigate complex transformative journey successfully. In an era where urbanization continues accelerate, is not merely futuristic but pressing necessity ensuring prosperity our cities.

Language: Английский

Intelligent transportation systems for sustainable smart cities DOI Creative Commons

Mohamed Elassy,

Mohammed Al-Hattab,

Maen Takruri

et al.

Transportation Engineering, Journal Year: 2024, Volume and Issue: 16, P. 100252 - 100252

Published: April 14, 2024

Intelligent Transportation Systems are rapidly expanding to meet the growing demand for safer, more efficient, and sustainable transportation solutions. These systems encompass various applications, from traffic management control autonomous vehicles, aiming enhance mobility experiences while addressing urbanization challenges. This paper examines key components of Systems, including Vehicular Ad-hoc Networks, Traffic Lights, Virtual Mobility Prediction, emphasizing their role in improving efficiency, safety, sustainability. It explores recent advancements communication that enable real-time operations, contributing realization environmentally friendly smart cities.Moreover, addresses security challenges associated with deployment, particularly concerning public transit privacy, presents case studies illustrating benefits integration specific urban areas, its fostering Sustainable Smart Cities. Additionally, it proactive initiatives by automotive manufacturers adhering standards, ensuring mutual drivers centers.

Language: Английский

Citations

54
Future Trends and Emerging Threats in Drone Cybersecurity DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 148 - 195

Published: Jan. 26, 2024

The rapid proliferation of drone technology has ushered in a new era innovation and convenience across various industries. However, this technological advancement also given rise to host cybersecurity challenges that demand proactive attention. This chapter delves into the dynamic landscape security, exploring evolving trends emerging threats shape field. Beginning with an overview advancements, including integration artificial intelligence machine learning, examines their implications for cybersecurity. It then scrutinizes growing influence swarms autonomous operations, pinpointing associated strategies securing these systems. explores expansion operations beyond visual line sight (BVLOS) risks involved, emphasizing importance secure communications legal considerations.

Language: Английский

Citations

11
A Review of Transportation 5.0: Advancing Sustainable Mobility Through Intelligent Technology and Renewable Energy DOI Creative Commons
Mohammad Shamsuddoha, Mohammod Abul Kashem, Tasnuba Nasir

et al.

Future Transportation, Journal Year: 2025, Volume and Issue: 5(1), P. 8 - 8

Published: Jan. 14, 2025

Transportation 5.0 is an advanced and sophisticated system combining technologies with a focus on human-centered design inclusivity. Its various components integrate intelligent infrastructure, autonomous vehicles, shared mobility services, green energy solutions, data-driven systems to create efficient sustainable transportation network tackle modern urban challenges. However, this evolution of also intended improve accessibility by creating environmentally benign substitutes for traditional fuel-based even when addressing traffic management control issues. Consequently, promote synergy sustainability, the diversified nature ought be efficiently effectively managed. Thus, study aims reveal involvement core component prediction in through systematic literature review. This contemplates causal model under dynamics modeling order address solutions movement toward sustainability context 5.0. From review, addition developed model, it identified that every method reduces environmental impact while increasing passenger convenience overall efficiency transport network, greater improvements developing nations. As variety options, including electric successfully integrated, will eventually enable mobility, multimodal transit options.

Language: Английский

Citations

1
Research on sustainable green building space design model integrating IoT technology DOI Creative Commons
Yuchen Wang, Liu Lu

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(4), P. e0298982 - e0298982

Published: April 29, 2024

"How can the integration of Internet Things (IoT) technology enhance sustainability and efficiency green building (G.B.) design?" is central research question that this study attempts to answer. This investigation important because it examines how IoT work together. It also provides information about use contemporary technologies for environmental in sector. The paper a range applications buildings, focusing on intersection. These include energy monitoring, occupant engagement, smart automation, predictive maintenance, renewable integration, data analytics enhancements. objective create thorough sustainable model designing spaces successfully incorporates IoT, offering industry professionals cutting-edge solutions practical advice. uses mixed-methods approach, integrating quantitative analysis with qualitative case studies literature reviews. evaluates improve management, indoor quality, resource optimization diverse geographic contexts. findings show there has been noticeable improvement waste reduction, water efficiency, upkeep high-quality environments after integration. fills major gap by comprehensive design, which indicates its impact. positions as critical element advancing urban development offers ground-breaking framework application practices. emphasizes need customized buildings. identifies future directions, including advanced evaluation IoT’s impact behavior well-being, along addressing cybersecurity concerns. acknowledges challenges associated implementation, such initial costs specialized skills needed.

Language: Английский

Citations

4
Evaluating Blockchain Platforms for IoT Applications in Industry 5.0: A Comprehensive Review DOI Open Access
Najmus Sakib Sizan,

Diganta Dey,

Md. Abu Layek

et al.

Blockchain Research and Applications, Journal Year: 2025, Volume and Issue: unknown, P. 100276 - 100276

Published: Feb. 1, 2025

Language: Английский

Citations

0
Smart Car Damage Assessment Using Enhanced YOLO Algorithm and Image Processing Techniques DOI Creative Commons

Muhammad Remzy Syah Ramazhan,

Alhadi Bustamam,

Rinaldi Anwar Buyung

et al.

Information, Journal Year: 2025, Volume and Issue: 16(3), P. 211 - 211

Published: March 10, 2025

Conventional inspections in car damage assessments depend on visual judgments by human inspectors, which are labor-intensive and prone to fraudulent practices through manipulating damages. Recent advancements artificial intelligence have given rise a state-of-the-art object detection algorithm, the You Only Look Once algorithm (YOLO), that sets new standard smart automated assessment. This study proposes an enhanced YOLOv9 network tailored detect six types of damage. The enhancements include convolutional block attention module (CBAM), applied backbone layer enhance model’s ability focus key damaged regions, SCYLLA-IoU (SIoU) loss function, introduced for bounding box regression. To be able assess severity comprehensively, we propose novel formula named index (DSI) quantifying directly from images, integrating multiple factors such as number detected damages, ratio image size, confidence, type Experimental results CarDD dataset show proposed model outperforms YOLO algorithms 1.75% DSI demonstrates intuitive assessment with numbers, aiding repair decisions.

Language: Английский

Citations

0
TabNet‐SFO: An Intrusion Detection Model for Smart Water Management in Smart Cities DOI Creative Commons
Wahid Rajeh, Majed Aborokbah,

S. Manimurugan

et al.

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

As Smart City (SC) infrastructures evolve rapidly, securing critical systems like smart water management (SWM) becomes paramount to protecting against cyber threats. Enhancing the security, sustainability and execution of conventional schemes is considered significant in developing environments. Intrusion detection (IDS) can be effectively leveraged realise this security objective an Internet Things (IoT)‐based environment. This research addresses need by proposing a novel IDS model called TabNet architecture optimised using Sailfish Optimisation (SFO). The TabNet‐SFO was specifically developed for SWM SC applications. proposed includes data collection, preprocessing, feature selection classification processes. For training model, used CIC‐DDoS‐2019 dataset, evaluation, real‐time collected IoT‐based metre are used. preprocessing step eliminates unnecessary features, cleans data, encodes labels normalises applied datasets. After selects features dataset. SFO algorithm, which allows hyperparameter tuning optimisation. demonstrated improved accuracy efficiency on both simulated attained 98.90% accuracy, 98.85% recall, 98.80% precision, 98.82% specificity 98.78% f1 score CIC‐DDoS dataset 99.21% 99.02% 99.05% 99.10% 99.18% data. Compared existing models, outperformed all models terms performance metrics validated its detecting attacks.

Language: Английский

Citations

0
IoT-Based Framework for Connected Municipal Public Services in a Strategic Digital City Context DOI Creative Commons
Danieli Aparecida From, Denis Alcides Rezende, Donald Francisco Quintana Sequeira

et al.

IoT, Journal Year: 2025, Volume and Issue: 6(2), P. 20 - 20

Published: March 25, 2025

The use of digital technology resources in public services enhances efficiency, responsiveness, and citizens’ quality life through improved resource management, real-time monitoring, service performance. objective is to create apply an IoT-based framework for connected municipal a strategic city context. research employed modeling process validated Brazilian city, identifying seven related frameworks four themes bibliometric review. original comprises three constructs, eight subconstructs, 12 variables, case study inquiry. results revealed that the researched has yet enlarge IoT into its as part project initiative. Key recommendations implementation include prioritizing preferences citizens, expanding critical suited IoT, updating strategies incorporate IT streamline decision-making. conclusion reiterates effective when actionable information supports planning decision-making highlights transformative potential driving more resilient sustainable cities aligned with needs. This approach allows managers enhance while improving efficiency responsiveness urban management processes services.

Language: Английский

Citations

0
Internet of Things-enabled unmanned aerial vehicles for real-time traffic mobility analysis in smart cities DOI
Murat Bakırcı

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110313 - 110313

Published: April 1, 2025

Language: Английский

Citations

0
Unravelling the Influence of Fake News on Social Media: Implications for UPI Payment App Continuance Intentions—An Empirical Study DOI Creative Commons
Ananta Prasad Nanda,

Krishna Kumar Veluri,

Dhananjay Beura

et al.

NMIMS Management Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

This study examines the relationship between user attitudes and continuance intention toward Unified Payment Interface (UPI) payment apps in India, with misinformation as a moderating variable. Data were collected from 404 users via an online questionnaire using validated scales, analysed through Partial Least Squares Structural Equation Modelling (PLS-SEM). Thematic analysis was used to support qualitative insights. Results demonstrate strong positive influence of on intention, driven by perceived benefits such convenience, security, efficiency. Notably, unexpectedly moderated this positively, indicating that remain resilient fake news, prioritizing UPI’s functional value. These findings have practical implications for policymakers, fintech firms, digital platforms aiming strengthen trust engagement. The contributes growing literature payments highlighting overlooked role behavior providing strategies foster long-term adoption UPI.

Language: Английский

Citations

0