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Special Issue:
Advanced Modeling of Processes in the Field of Dangerous Goods

Details of the Special Issue

Dangerous goods are an indispensable part of our technologically advanced industrial society. They function as essential raw materials, semi-finished, and finished products that are integral to the daily operations across various industries. As these materials are vital to supporting and enabling modern civilization, the management of their use, transport, and storage poses significant challenges and risks to both human safety and environmental health.

To ensure the safe handling of dangerous goods throughout their lifecycle, comprehensive risk assessments, strict adherence to safety protocols, and robust regulatory compliance are imperative. Innovations in vehicle engineering, packaging technology, and safety protocols have significantly enhanced the security and efficiency of transporting these potentially hazardous materials.

Given the critical nature and complexity of handling dangerous goods, continuous research and development in this field are crucial. This special issue invites scholarly contributions that address a variety of key areas aimed at enhancing safety and efficiency.

  • Key Performance Indicators in Transport of Dangerous Goods: Contributions that discuss innovative best practices, case studies, or methodologies that improve safety and efficiency in hazardous material transport. Papers could also explore the development and application of IT solutions such as real-time tracking systems, automated hazard detection, and predictive maintenance systems.

  • Risk Modeling of Processes Related to Dangerous Goods: We encourage submissions focusing on advanced modeling techniques that include predictive analytics and artificial intelligence to assess and mitigate risks in the management of dangerous goods. Studies might include the integration of big data analytics to enhance risk assessment capabilities.

  • Safety of Transport of Dangerous Goods: Detailed evaluations of current safety protocols and preventive measures are sought, particularly those that integrate IT solutions to automate and enhance response strategies during emergencies involving hazardous materials.

  • Fuzzy Modeling of Processes Related to Dangerous Goods: Papers that apply fuzzy logic to improve decision-making processes in the transport and handling of dangerous goods. Research could address the use of fuzzy systems to handle uncertainty in logistics operations, thereby improving safety and operational outcomes.

  • Vehicle Engineering in Transport of Dangerous Goods: Submissions detailing the design and technological advancements in transport vehicles specifically engineered to enhance safety. Topics of interest include advanced driver-assistance systems (ADAS), IoT-enabled vehicle monitoring, and smart containment systems.

  • Influence of Dangerous Goods on Environmental Protection: Papers should examine the environmental impacts of dangerous goods, focusing on strategies for mitigating environmental damage and sustainable practices for environmental recovery. Contributions might also explore how IT technologies can be used to monitor and manage environmental risks associated with hazardous materials.

  • IT and Digital Innovations in the Management of Dangerous Goods: We welcome studies that explore the role of IT and digital technology in transforming the logistics and safety management of dangerous goods. This includes blockchain for secure and transparent tracking, AI for logistics optimization, and IoT for continuous monitoring and control.

  • Regulatory Compliance and Policy Development: Analysis of the impact of national and international regulations on the transport and storage of dangerous goods, with particular emphasis on how technology can assist in adhering to and exceeding regulatory standards. Papers might evaluate the effectiveness of policies and propose enhancements facilitated by technological innovations.

This special issue aims to compile a diverse collection of research that contributes to advancing the safe management practices for dangerous goods, reflecting the latest technological and methodological developments. Through this publication, we aim to foster a deeper understanding of the complexities involved in handling dangerous goods and promote safer industrial practices globally.

Submission Details:

We invite contributions from researchers, academicians, and professionals working in the field of dangerous goods management and safety. Submissions should focus on innovative research, technological advancements, and practical applications that enhance the safety and efficiency of handling dangerous goods. Papers should be original, technically sound, and provide significant insights into the challenges of managing dangerous goods. Authors should also explore the broader impact of their work on regulatory compliance, public safety, and future research directions.

Please note, Acadlore will jointly offer publishing opportunities for this special issue through its journals: Journal of Intelligent Management Decision, Journal of Engineering Management and Systems Engineering, Mechatronics and Intelligent Transportation Systems, Journal of Operational and Strategic Analytics, and Journal of Industrial Intelligence. Authors may freely choose to submit their articles to the journal that best aligns with their work, and all submissions will undergo peer review. In addition, all articles must be submitted through Acadlore's online submission system, AcademiaPath. If you have any questions, please contact info@acadlore.com.

Published Articles
Open Access
Research article
Special Issue
Fuzzy Control of Active Vehicle Suspensions for Enhanced Safety in Goods Transport
georgios k. tairidis ,
konstantinos marakakis ,
athanasios protogerakis ,
Georgios E. Stavroulakis
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Available online: 09-29-2024

Abstract

Full Text|PDF|XML
Suspension systems play a critical role in ensuring the safety, comfort, and stability of vehicles during the transportation of both passengers and goods. Among various suspension technologies, active or electronic suspensions have emerged as the most advanced due to their ability to dynamically adjust damping characteristics, thereby optimizing vehicle performance. This is typically achieved by modulating the pressure or flow of air or oil within the damper, or by altering its physical properties. To facilitate such dynamic adjustments, an effective control system is essential. Soft computing techniques, such as fuzzy logic controllers, are increasingly employed for their robustness and adaptability in providing the required control forces. In this study, the active suspension system was controlled via a fuzzy logic controller, with a piezoelectric actuator employed to generate the control force. A comparative analysis was conducted with traditional control methods, including the proportional-integral-derivative (PID) controller, to evaluate the performance of the fuzzy logic approach. Simulation results demonstrated that both control strategies were capable of achieving stable and smooth suspension behavior. However, fuzzy control was found to respond more quickly to dynamic changes, while the PID controller exhibited superior performance during the initial stages of vibration, offering enhanced safety during the commencement of transport. These findings underscore the potential of fuzzy logic control in optimizing the active suspension systems for improved vehicle dynamics and the safe transport of sensitive goods.
This article is part of the Special Issue entitled Advanced Modeling of Processes in the Field of Dangerous Goods
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