Telematics and Informatics Reports最新文献_第4页

Digital transformation in emerging markets: Adoption dynamics of AI image generation in marketing practices 新兴市场的数字化转型：营销实践中人工智能图像生成的采用动态

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-20 DOI: 10.1016/j.teler.2025.100267

Md Mehedi Hasan Emon

This study explores the key variables influencing the adoption of AI image generators in marketing in Bangladesh, emphasizing the mediated impact of perceived usefulness. The study examines the present extent of AI image generator use across marketing agencies in Bangladesh and offers suggestions for optimizing their application to enhance efficiency, creativity, and competitiveness. A quantitative research strategy was used, gathering primary data via a standardized questionnaire administered to 480 marketing experts. Following the screening process, 320 replies were considered valid. Convenience sampling was used, focusing on professionals engaged in choices about the implementation of AI image generators. The data was analyzed using Smart PLS, a statistical program for SEM, to investigate the connections between key components and behavioral intents. Research demonstrates that PE, EE, SI, FC, and ATT substantially affect the motivation to use AI image generators. Nonetheless, PR exerts no substantial influence. PU mediators the associations between PE, SI, and PR with BI, but it does not mediate EE, FC, or ATT. The research underscores the critical importance of perceived usefulness to boosting adoption. This study offers actionable insights for marketing companies, highlighting the need to augment perceived usefulness by showcasing the advantages of AI. It enhances the comprehension of AI adoption in developing areas, facilitating digital transformation. This research is novel in its contextual emphasis on Bangladesh and its use of perceived usefulness as a mediating variable.

本研究探讨了影响在孟加拉国营销中采用人工智能图像生成器的关键变量，强调了感知有用性的中介影响。该研究调查了孟加拉国营销机构目前使用人工智能图像生成器的程度，并提出了优化其应用的建议，以提高效率、创造力和竞争力。采用了定量研究策略，通过对480名营销专家进行标准化问卷调查来收集原始数据。经过筛选程序，320份答复被认为是有效的。使用便利抽样，重点关注从事人工智能图像生成器实施选择的专业人员。使用SEM统计程序Smart PLS对数据进行分析，以调查关键成分与行为意图之间的联系。研究表明，PE、EE、SI、FC和ATT对使用人工智能图像生成器的动机有很大影响。尽管如此，公共关系并没有实质性的影响。PU调节了PE、SI和PR与BI之间的关系，但它不调节EE、FC或ATT。研究强调了感知有用性对促进采用的关键重要性。这项研究为营销公司提供了可操作的见解，强调了通过展示人工智能的优势来增强感知有用性的必要性。它增强了对发展中地区采用人工智能的理解，促进了数字化转型。这项研究的新颖之处在于其上下文强调孟加拉国及其使用感知有用性作为中介变量。

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引用次数: 0

Artificial Intelligence (AI): Foundations, trends and future directions 人工智能（AI）：基础、趋势和未来方向

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-20 DOI: 10.1016/j.teler.2025.100265

Muhammed Golec , Emir Sahin Hatay , Sukhpal Singh Gill , Rajkumar Buyya

Developments in artificial intelligence (AI) technology have revolutionized many areas, from health to education, and from defense to commercial applications, both civilian and military. This article provides a comprehensive overview of the foundations, theoretical, and technological developments of AI, and the application areas it has enabled. It also examines the industrial impact of AI, including recent trending applications such as DeepSeek, ChatGPT, Google Lens, Face ID, and Tesla, as well as the areas of Natural Language Processing, Autonomous Vehicles, and Computer Vision. Beyond these, it highlights on future aspects of AI, such as next-generation Large Language Models (LLMs) and Artificial General Intelligence (AGI), and explores its impact on social ethics. The investigation of all these aspects aims to equip the reader with a comprehensive understanding of the current impact and potential future directions of AI.

人工智能（AI）技术的发展已经彻底改变了许多领域，从卫生到教育，从国防到民用和军事的商业应用。本文全面概述了人工智能的基础、理论和技术发展，以及它所能实现的应用领域。它还研究了人工智能的工业影响，包括最近的趋势应用，如DeepSeek、ChatGPT、谷歌Lens、Face ID和特斯拉，以及自然语言处理、自动驾驶汽车和计算机视觉领域。除此之外，它还强调了人工智能的未来方面，如下一代大型语言模型（llm）和人工通用智能（AGI），并探讨了其对社会伦理的影响。所有这些方面的调查旨在使读者对人工智能的当前影响和潜在的未来方向有一个全面的了解。

引用次数: 0

Is the public sector Africa’s hidden force for AI-driven healthcare transformation? 公共部门是非洲人工智能驱动的医疗转型的隐藏力量吗？

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-17 DOI: 10.1016/j.teler.2025.100258

Ally S. Nyamawe

The transformative impact of Artificial Intelligence (AI) in today’s interconnected world is extensive, reshaping capabilities, enhancing efficiencies, and creating pathways to address critical global challenges. AI demonstrates potential in healthcare for improving outcomes through enhanced diagnostics, predictive analytics, and personalized treatment plans, directly contributing to Sustainable Development Goal 3 (SDG 3) on good health and well-being. However, the benefits of AI remain unevenly distributed, with notable gaps in adoption and access, particularly in lower-resource regions like Africa. This paper conducts a comprehensive scoping review to examine the role of the public sector in advancing AI integration within African healthcare systems. The key contributions include: (1) synthesizing existing research to identify trends, gaps, and progress in AI adoption, (2) highlighting practical examples of AI applications that show promise in improving healthcare delivery, (3) analyzing the major barriers to widespread adoption, and (4) outlining policy implications and actionable recommendations. The discussion is framed around six core components of a sustainable AI ecosystem: skills development, data access, computational resources, supportive policy environments, financing, and multi-sector partnerships. The findings suggest that with coordinated public sector leadership, strategic investment, and effective policy implementation, AI can improve healthcare outcomes and support sustainable development across the continent.

在当今相互关联的世界中，人工智能（AI）的变革性影响是广泛的，它重塑了能力，提高了效率，并为应对关键的全球挑战创造了途径。人工智能在医疗保健领域展示了通过增强诊断、预测分析和个性化治疗计划改善结果的潜力，直接促进了关于良好健康和福祉的可持续发展目标3（可持续发展目标3）。然而，人工智能的好处仍然分布不均，在采用和获取方面存在显著差距，特别是在非洲等资源较低的地区。本文进行了全面的范围审查，以检查公共部门在推进非洲医疗保健系统内人工智能整合方面的作用。主要贡献包括：(1)综合现有研究，以确定人工智能采用的趋势、差距和进展；(2)重点介绍在改善医疗保健服务方面有希望的人工智能应用的实际示例；(3)分析广泛采用的主要障碍；(4)概述政策影响和可操作的建议。讨论围绕可持续人工智能生态系统的六个核心组成部分展开：技能开发、数据获取、计算资源、支持性政策环境、融资和多部门伙伴关系。研究结果表明，通过协调公共部门的领导、战略投资和有效的政策实施，人工智能可以改善医疗保健结果，并支持整个非洲大陆的可持续发展。

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引用次数: 0

Unveiling digital public services: a citizen-led hybrid approach with mystery shoppers and fsQCA 揭开数字公共服务的面纱：由神秘购物者和fsQCA组成的公民主导的混合方法

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-15 DOI: 10.1016/j.teler.2025.100257

Daniel Catala-Perez, Maria de-Miguel-Molina, Blanca de-Miguel-Molina, Beatriz Garcia-Ortega

This study presents an innovative, rigorous framework to evaluate user satisfaction and expectation fulfilment in digital public services, using fuzzy set Qualitative Comparative Analysis (fsQCA). The study used an empirical dataset from a real digital administrative procedure to integrate the SERVQUAL model’s dimensions with user-specific expectations. The aim was to construct composite outcomes that reflected nuanced perceptions of service quality. The methodological design applied robust calibration thresholds to reflect theoretical guidance and the empirical distribution of scores. This clarifies the link between calibration choices and the complexity of user journeys in digital services. Data were gathered through a mystery shopper exercise in which trained citizens interacted, capturing authentic service encounters. Empirically, high expectation fulfilment emerges when a security baseline combines with reliable execution and responsive handling, while high satisfaction requires security and reliability together with interface clarity and, in some pathways, empathetic support. Taken together, these results emphasising the interplay of technical, procedural, and relational factors. These findings offer actionable insights for public administrators to design user-centred digital services and establish a replicable methodological template for evaluating service quality across diverse contexts. The study also discusses limitations, such as the small sample size, and proposes future research directions, including cross-contextual comparisons, to expand the understanding of digital service quality.

本研究提出了一个创新的、严谨的框架来评估用户满意度和期望实现的数字公共服务，使用模糊集定性比较分析（fsQCA）。该研究使用了来自真实数字管理程序的经验数据集，将SERVQUAL模型的维度与用户特定期望相结合。其目的是构建反映服务质量细微差别的综合结果。方法设计采用稳健的校准阈值来反映理论指导和得分的经验分布。这澄清了校准选择与数字服务中用户旅程的复杂性之间的联系。数据是通过一个神秘购物者练习收集的，在这个练习中，受过训练的公民进行互动，捕捉真实的服务遭遇。根据经验，当安全基线与可靠的执行和响应性处理相结合时，高期望实现就会出现，而高满意度需要安全性和可靠性以及界面清晰度，在某些途径中，还需要移情支持。综上所述，这些结果强调了技术、程序和相关因素的相互作用。这些发现为公共管理人员设计以用户为中心的数字服务提供了可行的见解，并为评估不同背景下的服务质量建立了可复制的方法模板。研究还讨论了样本规模小等局限性，并提出了未来的研究方向，包括跨上下文比较，以扩大对数字服务质量的理解。

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引用次数: 0

Revisiting preferences for communication styles in computer-mediated communication: a study amongst UK and Arab samples 重新审视计算机媒介沟通中对沟通风格的偏好：一项英国和阿拉伯样本的研究

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-15 DOI: 10.1016/j.teler.2025.100263

Asma Elfadl , Sameha Alshakhsi , Raian Ali , Ala Yankouskaya

As the transition toward online communication continues globally, the way people interact across cultures is also evolving. Much of the research on communication styles has focused on face-to-face communication, while less attention has been given to how such styles adapt in digital spaces, especially across different cultural groups. This study addresses that gap by examining cross-cultural differences in online communication styles between the UK and Arab Gulf Cooperation Council (GCC) countries. Supported by scenarios and explanations, we surveyed 599 adults (272 from the UK and 327 from Arab GCC countries), assessing their preferences for well-defined communication styles (Direct vs. Indirect, Ordered vs. Unordered, Being-centred vs. Doing-centred, Literate vs. Oral) and their comfort levels with each. Our results indicate that online communication preferences in these cultures are becoming more aligned, as shown by both Arab and UK participants expressing greater preference of direct communication, thus challenging traditional cultural norms. We also observed a trend toward a being-centred communication style in the UK sample and differences in comfort levels with structured communication (ordered or linear) across the cultures. Interestingly, in contrast to face-to-face communication, no differences were found between the cultures in their preferences for literate versus oral communication styles. These findings suggest that digital environments may promote more flexible and adaptive communication, adding new evidence to the Uncertainty Avoidance and Communication Accommodation theories.

随着全球向在线交流的过渡，人们跨文化互动的方式也在不断发展。许多关于沟通风格的研究都集中在面对面的交流上，而很少有人关注这种风格如何在数字空间中适应，尤其是在不同文化群体之间。本研究通过考察英国和阿拉伯海湾合作委员会（GCC）国家之间在线沟通风格的跨文化差异来解决这一差距。在场景和解释的支持下，我们调查了599名成年人（272名来自英国，327名来自阿拉伯海湾合作委员会国家），评估了他们对明确定义的沟通方式（直接与间接、有序与无序、以人为中心与以行动为中心、读写与口头）的偏好，以及他们对每种沟通方式的适应程度。我们的研究结果表明，这些文化中的在线交流偏好正变得越来越一致，正如阿拉伯和英国的参与者所显示的那样，他们更喜欢直接交流，从而挑战了传统的文化规范。我们还观察到，在英国样本中，有一种以自我为中心的沟通风格的趋势，以及不同文化中结构化沟通（有序或线性）的舒适程度的差异。有趣的是，与面对面的交流相比，不同文化对书面和口头交流方式的偏好没有差异。这些发现表明，数字环境可能促进更灵活和适应性的沟通，为不确定性规避和沟通适应理论提供了新的证据。

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引用次数: 0

Mechanisms of building customer loyalty: Mediation of customer satisfaction with online retailing in South Africa 建立顾客忠诚的机制：南非网上零售顾客满意度的中介作用

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-15 DOI: 10.1016/j.teler.2025.100262

Thabang Excellent Mofokeng

With the global expansion of electronic commerce, today’s retailers make concerted efforts to improve their websites’ ease of use, information quality, privacy, and security as mechanisms to build customer loyalty. However, understanding of how these mechanisms could be mediated by satisfaction and moderated by gender, age, monthly spending, and relationship duration in building customer loyalty towards e-retailers is scant, which is a gap this study investigates. This quantitative study targeted a judgmental sample of 700 online shoppers in South Africa. At least 601 usable responses were returned from an online survey, to test the theoretical framework using structural equation modeling on Amos 29. The findings showed that the significant positive effects of perceived security and privacy on customer loyalty are partially mediated by satisfaction, and moderated by gender, age, monthly spending, and relationship duration. The study unveiled the unified explanatory power of TAM, D&M IS success model, and the ECT, thus offering novel contributions. Practical strategies empowering e-retail managers to redirect efforts to improve satisfaction, which strengthens the effects of perceived security and privacy on loyalty of older and new male customers with high monthly spending are explained in context of South Africa, a developing country.

随着电子商务的全球扩张，今天的零售商共同努力提高他们的网站的易用性、信息质量、隐私和安全性，作为建立客户忠诚度的机制。然而，对于这些机制如何被满意度所调节，并受性别、年龄、月支出和关系持续时间的调节，在建立消费者对电子零售商的忠诚度方面，我们的理解是很少的，这是本研究的一个空白。这项定量研究的目标是南非700名在线购物者的判断样本。在线调查中至少有601个可用的回复，用于在Amos 29上使用结构方程建模来测试理论框架。研究发现，安全感和隐私感对顾客忠诚的显著正向影响部分受满意度的中介作用，并受性别、年龄、月消费和关系持续时间的调节。该研究揭示了TAM、D&；M成功模型和ECT的统一解释力，从而提供了新颖的贡献。在南非这个发展中国家的背景下，我们解释了实际的策略，授权电子零售经理重新调整努力，以提高满意度，这加强了感知安全和隐私对每月高消费的新老男性客户忠诚度的影响。

{"title":"Mechanisms of building customer loyalty: Mediation of customer satisfaction with online retailing in South Africa","authors":"Thabang Excellent Mofokeng","doi":"10.1016/j.teler.2025.100262","DOIUrl":"10.1016/j.teler.2025.100262","url":null,"abstract":"<div><div>With the global expansion of electronic commerce, today’s retailers make concerted efforts to improve their websites’ ease of use, information quality, privacy, and security as mechanisms to build customer loyalty. However, understanding of how these mechanisms could be mediated by satisfaction and moderated by gender, age, monthly spending, and relationship duration in building customer loyalty towards e-retailers is scant, which is a gap this study investigates. This quantitative study targeted a judgmental sample of 700 online shoppers in South Africa. At least 601 usable responses were returned from an online survey, to test the theoretical framework using structural equation modeling on Amos 29. The findings showed that the significant positive effects of perceived security and privacy on customer loyalty are partially mediated by satisfaction, and moderated by gender, age, monthly spending, and relationship duration. The study unveiled the unified explanatory power of TAM, D&M IS success model, and the ECT, thus offering novel contributions. Practical strategies empowering e-retail managers to redirect efforts to improve satisfaction, which strengthens the effects of perceived security and privacy on loyalty of older and new male customers with high monthly spending are explained in context of South Africa, a developing country.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"20 ","pages":"Article 100262"},"PeriodicalIF":4.7,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the institutional readiness and capacity for AI adoption in public audit institutions in developing countries: evidence from Ghana 评估发展中国家公共审计机构采用人工智能的机构准备和能力：来自加纳的证据

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-15 DOI: 10.1016/j.teler.2025.100260

Sampson Anomah

This study investigates the institutional readiness and capacity for adopting Artificial Intelligence (AI) in public audit institutions in developing countries, using Ghana as a case study. Anchored in the Technology-Organization-Environment (TOE) framework and Institutional Theory, the research employed a cross-sectional survey design with 332 respondents, including auditors, IT professionals, and public financial managers. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test relationships among e-Government readiness, institutional pressure, AI readiness, and behavioral intention to adopt AI. The results show that both e-Government readiness and institutional pressure significantly predict AI readiness, which in turn strongly influences behavioral intention. Notably, AI readiness mediates the effects of institutional and technological factors, affirming its role as a pivotal construct in the adoption process. The findings underscore that while external regulatory incentives are important, internal digital infrastructure and adaptive institutional capacity are more critical drivers of AI adoption. The study contributes a validated model of AI readiness for public sector audits and provides actionable insights for policymakers, including the need for digital infrastructure investments, human capital development, and cultural transformation within audit institutions. The research concludes with a call for future studies to explore the influence of organizational culture and trust on AI adoption in public governance.

本研究以加纳为例，调查了发展中国家公共审计机构采用人工智能（AI）的机构准备程度和能力。该研究以技术-组织-环境（TOE）框架和制度理论为基础，采用了横断面调查设计，共有332名受访者，包括审计师、IT专业人员和公共财务经理。采用偏最小二乘结构方程模型（PLS-SEM）检验电子政务准备程度、制度压力、人工智能准备程度和采用人工智能的行为意愿之间的关系。结果表明，电子政务准备度和制度压力都能显著预测人工智能准备度，而人工智能准备度又会强烈影响行为意愿。值得注意的是，人工智能准备程度调节了制度和技术因素的影响，确认了其在采用过程中的关键作用。研究结果强调，尽管外部监管激励很重要，但内部数字基础设施和适应性机构能力是人工智能采用的更关键驱动因素。该研究为公共部门审计提供了一个经过验证的人工智能准备模型，并为政策制定者提供了可操作的见解，包括对数字基础设施投资、人力资本开发和审计机构内部文化转型的需求。该研究最后呼吁未来研究探索组织文化和信任对公共治理中人工智能采用的影响。

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引用次数: 0

From interest to action: Analyzing the mediating and moderating factors in online shopping behavior using a structural equation modeling approach 从兴趣到行动：运用结构方程建模方法分析网络购物行为的中介和调节因素

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-13 DOI: 10.1016/j.teler.2025.100261

Alireza Mahpour, Mahyar Mollajani, Amirhossein Baghestani, Parsa Zamani

Increasing access to the internet and technological advancements have accelerated the shift toward online shopping. This study applies Structural Equation Modeling (SEM) to analyze the underlying factors shaping online shopping behavior in Tehran. Based on responses from 444 respondents, the study finds that convenience, perceived benefits, the quality of online services, and consumer interest in technology are key factors that influence consumer preferences. Furthermore, the results reveal mediating effects of technological interest and perceived benefits, as well as moderating effects of parental status and gender. For businesses, policymakers, and retailers seeking to improve consumer engagement in e-commerce, these findings offer significant insights into the dynamics of digital purchasing behavior.

越来越多的人进入互联网，技术进步加速了人们向网上购物的转变。本研究运用结构方程模型（SEM）分析影响德黑兰网上购物行为的潜在因素。根据444名受访者的反馈，该研究发现便利性、可感知的好处、在线服务的质量以及消费者对技术的兴趣是影响消费者偏好的关键因素。此外，研究结果还揭示了技术兴趣和感知利益的中介作用，以及父母地位和性别的调节作用。对于寻求提高消费者在电子商务中的参与度的企业、政策制定者和零售商来说，这些发现为数字购买行为的动态提供了重要的见解。

引用次数: 0

A 3-item short version of the fear of missing out (FoMO) scale for trait and time-intensive designs: Measurement invariance and psychometric properties 一份针对特质和时间密集型设计的错失恐惧（FoMO）量表的3项简短版本：测量不变性和心理测量特性

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-10 DOI: 10.1016/j.teler.2025.100259

Eva M. Hisham , Andree Hartanto , Nadyanna M. Majeed

Research on Fear of Missing Out (FoMO) has gained prominence alongside the rise of digital connectivity and social media, which offer individuals continuous access to others’ experiences in real time. Importantly, it has been increasingly recognised as an important psychological construct, closely associated with various problematic digital behaviours. As the fields of media psychology and human-computer interaction increasingly adopt time-intensive methodologies (e.g., daily and weekly studies) to capture dynamic experiences of technology use, there is a growing need for brief yet psychometrically-sound measures of FoMO suitable for such designs. The present work reports the development of a 3-item FoMO scale (FoMO-3) and evaluates its psychometric properties across trait and time-intensive methodologies such as daily diary studies and weekly diary studies. Across five independent samples (total N=1,258), we used structural equation modelling to evaluate the model fit and psychometric properties of trait-like and state-like versions of the FoMO-3. We found that across all assessments, the FoMO-3 consistently demonstrated high internal consistency. In Study 1, the FoMO-3 demonstrated strict measurement invariance and homogeneity of latent means and variances across sex. In Studies 2 and 3, strong time invariance was established across 13 consecutive weeks and 7 consecutive days respectively. Consistent with prior research, FoMO-3 scores were also positively associated with problematic smartphone use. These findings demonstrate that the concise, three-item FoMO-3 can capture the FoMO construct with strong reliability and validity, without compromising psychometric rigour.

随着数字连接和社交媒体的兴起，对错失恐惧（FoMO）的研究得到了重视，社交媒体为个人提供了实时获取他人体验的渠道。重要的是，它越来越被认为是一种重要的心理结构，与各种有问题的数字行为密切相关。随着媒体心理学和人机交互领域越来越多地采用时间密集型方法（例如，每日和每周研究）来捕捉技术使用的动态体验，越来越需要适合此类设计的简短但心理计量学上合理的FoMO测量方法。本研究报告了3项FoMO量表（FoMO-3）的开发，并评估了其在特质和时间密集型方法（如每日日记研究和每周日记研究）中的心理测量特性。在5个独立样本（总N=1,258）中，我们使用结构方程模型来评估FoMO-3的特征和状态版本的模型拟合和心理测量特性。我们发现，在所有评估中，FoMO-3始终表现出高度的内部一致性。在研究1中，FoMO-3显示了严格的测量不变性和性别间潜在均值和方差的均匀性。在研究2和研究3中，连续13周和连续7天分别建立了强时不变性。与之前的研究一致，FoMO-3分数也与有问题的智能手机使用呈正相关。这些研究结果表明，简明的三条目FoMO-3能够在不影响心理测量严谨性的前提下，以较强的信度和效度捕获FoMO结构。

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引用次数: 0

Industry 4.0 for smart transport systems: Foundations and applications 智能交通系统的工业4.0：基础和应用

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-10-04 DOI: 10.1016/j.teler.2025.100255

Wasim Ahmad , Sunawar Khan , Tehseen Mazhar , Tariq Shahzad , Weiwei Jiang , Habib Hamam

This paper examines how Industry 4.0 technologies enable smart transport systems through energy-aware architectures that integrate vehicles with the smart grid. We provide a concise synthesis of application patterns across cyber-physical systems (CPS), Industrial IoT sensing, edge and cloud analytics, and secure data exchange, and present application-oriented cases spanning EV–grid interaction (V2G), predictive maintenance, and operational optimization. We map enabling components—data ingestion, model inference, decision support, and secure interoperability—to transport tasks and discuss implementation trade-offs observed in practice. While our analysis is grounded in Industry 4.0 foundations, we explain how these foundations support a measured transition toward Industry 5.0—prioritizing human-centric, resilient, and sustainability-aligned operations— with Industry 5.0 features and LLM-based interfaces treated as future work rather than scope-defining elements.

本文研究了工业4.0技术如何通过将车辆与智能电网集成在一起的能源感知架构实现智能交通系统。我们提供了跨网络物理系统（CPS）、工业物联网传感、边缘和云分析以及安全数据交换的应用模式的简明综合，并提出了跨电动汽车电网交互（V2G）、预测性维护和运营优化的面向应用的案例。我们将启用组件（数据摄取、模型推理、决策支持和安全互操作性）映射到传输任务，并讨论在实践中观察到的实现权衡。虽然我们的分析基于工业4.0的基础，但我们解释了这些基础如何支持向工业5.0的可测量过渡-优先考虑以人为本，弹性和可持续性一致的运营-将工业5.0的功能和基于llm的接口视为未来的工作，而不是范围定义元素。

引用次数: 0