Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 205 - 226
Published: Jan. 1, 2025
Language: Английский
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 205 - 226
Published: Jan. 1, 2025
Language: Английский
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 3575 - 3575
Published: April 24, 2024
The integration of Industry 4.0 and automated vehicles into the smart cities concept is a topical issue in urbanization technological innovation within cities. As it relatively modern issue, many aspects this field have not yet been explored; as consequence, paper concerned with search for synergies between city infrastructures. There lack contributions that summarize these single article address wide range aspects, including transport, energy, communication, citizen participation. lacks complete clear summary what already known, which would help multiple stakeholders, authors decided to conduct review. elucidates above-stated through in-depth literature review, complemented by specific examples from practice. Of course, also includes description synergy potential impact on inhabitants, environment, and, last but least, overall life. main hypothesis technologies infrastructure will result significant improvements transportation efficiency, resource utilization, urban sustainability. discusses positives negatives such integration, highlighting, one hand, benefits terms reducing environmental improving citizens’ quality life, other highlighting various ethical, legal, social issues integrations may bring. Several methods used article, namely analysis, synthesis, comparison, historical interpretation. final discussion highlights benefits, well challenges, faces must deal if be successful. It can concluded synergistic enormous offers promising solutions enhancing energy management, highlighted that, order reap synergies, wide-ranging collaboration policymakers, industry planners needed.
Language: Английский
Citations
26GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 18(2), P. 167 - 197
Published: Feb. 14, 2024
As the financial service sector rapidly evolves with integration of cutting-edge technologies, intersection security and privacy becomes paramount. This paper delves into intricate landscape issues within sector, offering a comprehensive analysis challenges opportunities presented by emerging technologies. From blockchain to artificial intelligence, explores vulnerabilities inherent in these innovations consequential threats sensitive data. Through an examination recent case studies, regulatory frameworks, technological advancements, this work aims provide nuanced understanding evolving threat landscape. Additionally, proposes strategic solutions best practices fortify architecture surrounding fostering resilient trustworthy ecosystem. research contributes ongoing dialogue imperative safeguarding systems, ensuring that innovation aligns seamlessly imperatives confidentiality, integrity, availability era where services advancements are inextricably linked.
Language: Английский
Citations
19Future 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
3Vehicular Communications, Journal Year: 2024, Volume and Issue: 46, P. 100741 - 100741
Published: Feb. 7, 2024
Language: Английский
Citations
11Vehicular Communications, Journal Year: 2024, Volume and Issue: 49, P. 100804 - 100804
Published: June 1, 2024
Vehicular Ad-Hoc Networks (VANETs), a subset of Mobile (MANETs), are wire- less networks formed around moving vehicles, enabling communication between roadside infrastructure, and servers. With the rise autonomous connected security concerns surrounding VANETs have grown. still face challenges related to privacy with full-scale deployment due lack user trust. Critical factors shaping include their dynamic topology high mobility characteristics. Authentication protocols emerge as cornerstone secure transmission entities within VANET. Despite concerted efforts, there remains need incorporate verification approaches for refining authentication protocols. Formal constitutes mathematical approach developers validate rectify design errors precision. Therefore, this review focuses on pivotal element securing entity VANETs. It presents comparative analysis existing protocols, identifies research gaps, introduces novel framework that incorporates formal threat modeling. The considers key influencing security, sheds light ongoing challenges, emphasises significance proposed not only enhances VANET but also contributes growing field in automotive domain. As outcomes study, several future directions identified. These insights would offer valuable guidance researchers establish
Language: Английский
Citations
10IET Networks, Journal Year: 2025, Volume and Issue: 14(1)
Published: Jan. 1, 2025
Abstract The advent of 5G networks has precipitated an unparalleled surge in demand for mobile communication services, propelled by the sophisticated wireless technologies. An increasing number countries are moving from fourth generation (4G) to fifth (5G) networks, creating a new expectation services that dynamic, transparent, and differentiated. It is anticipated these will be adapted multitude use cases become standard practice. diversity increasingly complex network infrastructures present significant challenges, particularly management resources orchestration services. Network Slicing emerging as promising approach address it facilitates efficient Resource Allocation (RA) supports self‐service capabilities. However, effective segmentation implementation requires development robust algorithms guarantee optimal RA. In this regard, artificial intelligence machine learning (ML) have demonstrated their utility analysis large datasets facilitation intelligent decision‐making processes. certain ML methodologies limited ability adapt evolving environments characteristic beyond (B5G/6G). This paper examines specific challenges associated with evolution B5G/6G particular focus on solutions RA dynamic slicing requirements. Moreover, article presents potential avenues further research domain objective enhancing efficiency next‐generation through adoption innovative technological solutions.
Language: Английский
Citations
1Current Issues in Tourism, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18
Published: March 5, 2024
Automated vehicles powered by artificial intelligence (AI) represent some of the most disruptive technologies with broad social implications, including increasing safety for travelers and drivers, protecting environment, upholding equity. This study aims to develop a unified conceptual framework combining value-belief-norm (VBN) theory planned behaviour (TPB) understand how tourists accept autonomous vehicles. The PLS-SEM results 586 tourists' data show that altruistic biospheric values positively affect awareness consequences, whereas egoistic negatively it. Moreover, findings this validate suggested relationships between value-based constructs, ascription responsibility, pro-environmental personal norms. relationship behavioural intention norms was confirmed attitudes toward behaviour, subjective norms, perceived control. offers theoretical practical implications enhance likelihood travelers' acceptance
Language: Английский
Citations
5World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(5), P. 186 - 186
Published: April 28, 2024
The emergence of Autonomous Vehicles (AVs) marks a significant advancement in the automotive industry, transitioning from driver-assistance technologies to fully autonomous systems. This change is particularly impactful Gulf Cooperation Council (GCC) region, which market and technological hub. However, adoption AVs GCC faces unique challenges due influence cultural norms geographical characteristics. Our research utilizes customized framework Unified Theory Acceptance Use Technology (UTAUT), adapted include factors. approach fills gap existing literature by identifying analyzing key factors affecting GCC. findings indicate difference receptiveness towards among different demographics. Younger participants displayed more favorable attitude compared older individuals. Additionally, gender educational attainment play roles acceptance AVs. Specifically, our results suggest that there are variations rates genders individuals with varying levels education. United Arab Emirates (UAE) has relatively high rate its advanced infrastructure openness innovations. study identifies facilitating conditions performance expectancy as crucial determinants intention use It emphasizes importance readiness perceived advantages promoting their adoption.
Language: Английский
Citations
5Future Transportation, Journal Year: 2024, Volume and Issue: 4(3), P. 874 - 890
Published: Aug. 12, 2024
(1) Introduction: Transportation logistics play a pivotal role in facilitating both individual mobility and supply chain operations on global scale. However, conventional transportation systems have contributed significantly to urban congestion environmental degradation. In response these challenges, there is growing momentum investigate the potential of renewable energy power electric vehicles (EVs) flying automobiles, aiming reduce fossil fuel dependence carbon emissions. (2) Objectives: By analyzing key drivers opportunities for integrating into existing infrastructure through dynamic modeling, this study seeks accelerate transition sustainable transportation. (3) Methodology: A mixed-method approach, combining literature review causal loop diagram analysis, employed understand factors influencing EV car adoption. (4) Results: Findings highlight significant reducing emissions reliance fuels widespread vehicle The major challenges infrastructure, safety, airspace management are also identified. addition, research emphasizes importance addressing congestion, pollution, security. (5) Conclusions: leveraging embracing technological advancements, low-carbon future can be achieved, benefiting environment society.
Language: Английский
Citations
4Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2025, Volume and Issue: unknown, P. 257 - 282
Published: Jan. 10, 2025
This study investigates the criminal use and abuse of artificial intelligence (AI), exploring effectiveness various mitigation strategies. It employs a mixed-methods approach, combining quantitative data from survey 211 experts with qualitative insights academic, governmental, industrial publications. The research examines four key hypotheses: impact public organizational awareness, role advanced detection technologies, ethical guidelines, influence penalties enforcement. findings reveal that technology, ethics, enforcement all contribute to mitigating AI misuse. concludes by proposing comprehensive strategies, including targeted awareness campaigns, investment in robust strengthened legal frameworks, effectively combat AI.
Language: Английский
Citations
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