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Agent-Based Intelligent Fuzzy Traffic Signal Control System for Multiple Road Intersection Systems

Tamrat Delessa Chala László T. Kóczy

Publication Name: Mathematics

Publication Date: 2025-01-01

Volume: 13

Issue: 1

Page Range: Unknown

Description:

Traffic congestion at a single intersection can propagate and thus affect adjacent intersections as well, potentially resulting in prolonged gridlock across an entire urban area. Despite numerous research efforts aimed at developing intelligent traffic signal control systems, urban areas continue to experience traffic congestion. This paper presents a novel agent-based fuzzy traffic control system for multiple road intersections. The proposed system is designed to operate in a decentralized manner, with each intersection having its own agent (fuzzy controller) functioning concurrently. The intelligent fuzzy controller of the system can recognize emergency vehicles, assess the queue length and waiting time of vehicles, measure the distance of vehicles from intersections, and consider the cumulated waiting times of short vehicle queues. Two distinct types of agent-based intelligent fuzzy traffic control systems were implemented for comparison: one involving collaboration between an agent and its immediate neighboring agent(s) (where one intersection exchanges traffic data with its immediate neighboring intersection(s)), and the other implementing a non-collaborative agent-based intelligent fuzzy traffic control system (where the individual intersection has no direct communication). Following the experimental simulations, the results were compared with those of existing intelligent fuzzy traffic control systems that lack any module to calculate the distance of the vehicles from the intersection. The results demonstrated that the proposed agent-based system of controllers exhibited superior performance compared with the existing fuzzy controllers in terms of indicators such as average waiting time, fuel consumption, and CO2 emissions. For instance, the proposed system reduced the average waiting time of vehicles at an intersection by 48.65% compared with the existing three-stage intelligent fuzzy traffic control system. In addition, a comparison was conducted between non-collaborating and collaborating agent-based intelligent fuzzy traffic control systems, where collaboration achieved better results than the non-collaborating system. In the simulation experiments, an interesting new feature emerged: despite any direct communication missing at multiple intersections, green waves evolved with time. This emergent feature suggests that fuzzy controllers have the potential to evolve and adapt to traffic complexity issues in urban environments when operating in an autonomous agent-based mode. This study demonstrates that agent-based fuzzy controllers can effectively communicate with one another to share traffic data and improve the overall system performance.

Open Access: Yes

DOI: 10.3390/math13010124

Sustainable Logistics Strategy Deployment: A BSC-Based Developed QFD †

Peter Foldesi Eszter Sós

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 97

Issue: 1

Page Range: Unknown

Description:

This paper tackles the logistics dilemma of how to meet customer expectations while at the same time respecting the internal processes and financial interests of the company and ensuring long-term sustainability. In this paper, integrated Quality Function Deployment (QFD) and Balanced Scorecard (BSC) techniques developed a method for the structured planning of logistics strategies. BSC, combined with QFD, gives the opportunity not only to “translate” the voice of the customer but also to focus on the company’s interests from four perspectives. For example, for products, we evaluated the interactions between different expectations, and the focus was on the disputes that arise during the expectations. The result of this paper is that Extended QFD provides a new method to formulate the various requirements. This method is suitable for creating a sustainable logistics strategy.

Open Access: Yes

DOI: 10.3390/engproc2025097033

Sustainable Hatred: Tesla as a Political Product and the Environmental Impact of Hate Crimes Committed on E-Vehicles

Gábor Kecskés Judit Glavanits Gergely G. Karácsony

Publication Name: Future Transportation

Publication Date: 2025-12-01

Volume: 5

Issue: 4

Page Range: Unknown

Description:

The production and sales figures for electric vehicles are showing a steady upward trend, clearly indicating the growing importance of sustainability goals. A unique historical situation has developed in the US: the owner of the leading electric car manufacturer (Tesla), Elon Musk, has taken an active role in political life. Amid a rising trend in electric vehicle (EV) adoption aligned with global sustainability goals, the political activism of Musk has provoked public backlash, including acts of vandalism and aggression toward Tesla vehicles. Using a multidisciplinary approach, the study explores (1) the psychological underpinnings of object-directed violence, (2) the legal classification of politically motivated vandalism, and (3) the broader market implications of corporate politicization. Our findings confirm that object-directed aggression stems from displaced frustration, especially when individuals feel politically powerless or morally outraged. Our analysis revealed that most Tesla-related vandalism will likely be prosecuted as property crimes. Although U.S. officials have labeled some acts as domestic terrorism or hate crimes, legal thresholds are generally not met. Our interdisciplinary model suggests that the politicization of Tesla has broader implications. Tesla’s symbolic status in the electric vehicle market means that attacks on it risk triggering a decline in public trust toward electric mobility.

Open Access: Yes

DOI: 10.3390/futuretransp5040200

Relevance of Industry 4.0 Technologies to Advancing SDG 14: Life Below Water

John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Sustainable Development Goals Series

Publication Date: 2025-01-01

Volume: Part F1068

Issue: Unknown

Page Range: 197-218

Description:

This chapter explores the critical role of Industry 4.0 technologies in fostering Sustainable Development Goal 14 (SDG 14): Life Below Water. It investigates how digital innovations, such as remote sensing, artificial intelligence (AI), big data analytics, drones, robotics, and autonomous underwater vehicles, reshape marine ecosystems’ monitoring, management, and conservation. The chapter details key applications, including smart aquaculture farms, AI-driven pollution monitoring, early warning systems for harmful algal blooms, and real-time data platforms for marine governance. It outlines the contributions of these technologies to specific SDG 14 targets, particularly in reducing marine pollution, regulating harvesting to end overfishing, and increasing economic benefits for small island and coastal communities. In addition to exploring the significant benefits, the chapter critically discusses challenges such as high implementation costs, data interoperability issues, digital skill gaps, and ethical concerns related to Industry 4.0 adoption. It concludes by calling for greater investment, cross-sector collaboration, and inclusive policy frameworks to ensure that the digital transformation of marine conservation is both practical and equitable. Finally, the chapter envisions a “digital oceans” future where real-time and data-informed management ushers in resilient and sustainable marine ecosystems.

Open Access: Yes

DOI: 10.1007/978-3-032-06527-8_10

Sustainable public spending through blockchain

Judit Glavanits

Publication Name: European Journal of Sustainable Development

Publication Date: 2020-01-01

Volume: 9

Issue: 4

Page Range: 317-327

Description:

Blockchain technology and its industrial use cases can be detected worldwide. It is time for the state to think about the blockchain as an opportunity to reduce costs and build trust in the public spending. The paper and the presentation give an overview on how the state can apply the distributed ledger technology (DLT) and blockchain technology in the public administration: there are several countries with best practices already, and even more are in the introduction phase of opening to Industry 4.0 in the public services as well. On the field of FinTech area the state has great responsibility to regulate (or at least define) the phenomena of cryptocurrencies, that is already in use for more than 10 years now without any responsible governmental acts. Within this topic the Central Bank Digital Currency projects are also discussed in the paper, which are supported by IMF, and declared as the next natural step forward on financial markets.

Open Access: Yes

DOI: 10.14207/ejsd.2020.v9n4p317

Unpacking Technological Frames in AI-Enabled Hearing Care: A Mixed-Methods Causal Analysis of Adoption Barriers

Reeti Agarwal Manlio Del Giudice Hadeel Alsaleh Attila Kurucz Abhishek Bhushan Singhal

Publication Name: Journal of Global Information Management

Publication Date: 2026-01-01

Volume: 34

Issue: 1

Page Range: Unknown

Description:

Artificial intelligence-enabled diagnostics promise to transform hearing healthcare, yet real-world adoption remains limited. This study identifies and prioritizes barriers to AI integration in clinical audiology through a three-phase mixed-methods approach. Phase I reviewed literature, surfacing 20 obstacles across workflow, infrastructure, culture, and ethics. Phase II involved expert interviews, refining these into nine context-specific barriers. In Phase III, a fuzzy-DEMATEL survey and thematic coding revealed a causal hierarchy: algorithmic inaccuracy, privacy concerns, and lack of training erode clinician trust and widen the knowledge gap. Cost, integration issues, and resource limitations add systemic stress, while ethical concerns emerge downstream. Cluster analysis groups the barriers into three blocs: Clinical Workflow, Governance and Trust, and Tech Infrastructure. This is the first study to apply fuzzy-DEMATEL to AI barriers in audiology, producing a causal map and cluster framework that offer both theoretical insights and practical guidance for adoption strategies.

Open Access: Yes

DOI: 10.4018/JGIM.400760

Industry 4.0 for sustainable reverse waste collection: A systematic literature review

Edit Süle László Buics Marah Almelhem Ricardo Simoes

Publication Name: Journal of Transport and Supply Chain Management

Publication Date: 2025-01-01

Volume: 19

Issue: Unknown

Page Range: Unknown

Description:

Background: Despite ongoing efforts to improve resource recovery, waste continues to end up in landfills. Companies are increasingly pressured to address sustainability, particularly under the extended producer responsibility (EPR) frameworks. Objectives: This article examines how Industry 4.0 technologies can enhance the sustainability of waste collection within reverse logistics systems. By exploring the link among waste management, reverse logistics and Industry 4.0, the study identifies opportunities to improve resource use, reduce environmental impact and boost operational efficiency. Method: A systematic literature review was conducted using ScienceDirect and Web of Science database, two major databases, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided mapping study clearly, illustrated inclusion and exclusion steps. Keywords were structured using the PEO (Population, Exposure, Outcome) approach, resulting in 47 articles analysed and categorised into five themes. Results: The review identifies five key thematic areas in the integration of Industry 4.0 technologies with reverse logistics: collection system design and optimisation, application of core Industry 4.0; stakeholder engagement and consumer participation, policy frameworks and governance and barriers to efficient collection. While Industry 4.0 tools improve routing, traceability and efficiency, their impact increases when aligned with supportive policies and user engagement. Decentralised models, EPR schemes and incentive-driven systems significantly enhance return rates and environmental outcomes. Conclusion: The synergy between technological innovation, infrastructure planning and behavioural incentives is vital for effective reverse logistics. The review highlights limited empirical validation and calls for research on aligning technology adoption with local policy and informal sector realities. Contribution: This review introduces a conceptual framework integrating five interdependent dimensions, offering a unified framework for sector-wide sustainable reverse logistics.

Open Access: Yes

DOI: 10.4102/jtscm.v19i0.1179

Data-driven Floyd’s algorithm with AirQo monitoring device for optimizing transportation routes in an uncertain environment

Dragan Pamucar Nasreen Kausar J. Vimala K. Ashma Banu K. Ashma Banu K. Ashma Banu Vladimir Simic

Publication Name: Engineering Applications of Artificial Intelligence

Publication Date: 2026-01-01

Volume: 163

Issue: Unknown

Page Range: Unknown

Description:

This manuscript presents a novel All-pair shortest path algorithm that enhances Floyd’s method by integrating a soft computing-based decision model tailored for transportation routing in an uncertain environment. The routing problem is formulated as a graph, where the edges are aggregated into a single representative weight from multiple influencing factors using an aggregation operator and the score function. These weights represent pollution levels based on air quality data collected by the AirQo monitoring device along different route segments. By integrating decision making method, the enhanced Floyd’s algorithm is then used to compute the most effective route between a defined source and destination. The proposed method supports healthier travel choices by identifying routes with comparatively cleaner air. Preliminary simulations indicate that the suggested technique facilitates more informed route selection compared to conventional approaches. The uniqueness of this method lies in its integration of classical graph theory with decision-making for real-time environmental sensing, offering reduced exposure to pollutants and supporting cleaner, safer mobility in urban environments.

Open Access: Yes

DOI: 10.1016/j.engappai.2025.113134

Assessment of Sustainability Reporting from the EU Taxonomy Perspective: Evidence from Food-Processing Companies in the Visegrad Group

Károly Kacz Paweł Chmieliński Alžbeta Kiráľová Andrea Rózsa Martin Mariš Agnieszka Baer-Nawrocka Barbara Wieliczko Nóra Gombköto Ibolya Lámfalusi Goda Pál Judit Hámori Eleonóra Marišová

Publication Name: Studies in Agricultural Economics

Publication Date: 2026-01-01

Volume: 128

Issue: 1

Page Range: 22-34

Description:

This study assesses the sustainability reporting practices of large food-processing companies in the Visegrad countries from the perspective of the EU Taxonomy. The analysis covers the 2021–2023 period, during the transition from the NonFinancial Reporting Directive (NFRD) to the Corporate Sustainability Reporting Directive (CSRD). Using a qualitative content analysis and a relative scoring method based on the six environmental objectives and 33 related activities defined in Regulation (EU) 2020/852, we evaluate both the occurrence and quality of disclosed sustainability information. The sample includes large companies representing more than half of sectoral financial indicators in each country. Results show that climate change mitigation receives the highest relative scores across all countries, followed by sustainable water use, biodiversity protection, and circular economy objectives, while climate adaptation and pollution prevention remain less developed. Mandatory reports consistently outperform voluntary ones in quality. The findings highlight both sector-specific sustainability priorities and the significant role of regulatory requirements in enhancing transparency and comparability in sustainability reporting across Central Europe.

Open Access: Yes

DOI: 10.7896/j.3456