Journal of Multiscale Modelling

Call for Papers

The use of agent technology is quickly becoming a viable computing architecture for handling the complexity of dynamic distributed systems like management and traffic control. Though many agent-based traffic management and oversight systems have been suggested and multi-agent systems examined, mobile agent technology has otherwise, as far as we are aware, been utilised in this domain. Multi-agent systems (MASs), which have numerous autonomous computational entities with memory and computation capabilities as well as the ability to exchange messages between them, can be used to do this. These technologies offer massive amounts of distributed system management, including the Internet of-Things an agile and self-adaptive system. Agent-oriented systems have been used in very few real-world systems, despite the potential utility of MASs in urban areas.

The concept of the smart city is relatively new and has quickly become popular among local authorities worldwide. Urbanisation's increasing population density and the problems that have followed have brought attention to the need for clever approaches to improve citizen lives, provide services, and lessen the impact of calamities. One of the options was to establish new urban areas equipped with a city with an enhanced metered infrastructure and smart items with ubiquitous sensing and integrated intelligence. It is quite difficult to integrate a wide variety of devices with various functions, computing powers, and data streams. Because these connected devices are dynamic and dispersed, scalability is another important concern for managing IoT systems. The architecture of the system is unpredictable and vulnerable to sudden changes because any of the sensing devices and additional end users can enter, exit, or change where they are at any time. Because of the collaborative nature of MAS-based systems and their learning capacity, robust remedies that can adjust their configuration and operations in the face of unforeseen changes and interruptions can be designed. In order to develop these skills, it is necessary to continuously adjust the regulating parameters and tactics in order to draw lessons from past events, such as sudden changes in the environment and internal malfunctions.

The way that building collision avoidance is integrated into the wider coverage mission is a crucial component of variable urban coverage. To ensure that the model could be applied and reused in other commercial and research fields, a broader definition of the electric vehicle has been established. Artificial intelligence utilisation models are used to determine the multi-agent system's routing strategies. In this special issue, the driving algorithms direct the electric vehicles in the area based on the utilisation models, which forecast how parking spaces and charging stations will be used. Using a range of Internet of Things devices and technologies for communication and information, cities are digitising urban processes today in order to create a more decentralised, graphically quantifiable management of urban processes and asset utilisation.

The topics of the issue include but not limited to the following:

• Multi-agent systems with mobile agent technologies to enable traffic detection
• An overview of multi-agent and their uses in smart cities
• Systems engineering usage and assessment for multi-agent systems and complicated network
• Bio-inspired multi-agent data collection in an anticipatory urban surveillance setting
• Moving towards a multi-agent methodology for public transportation systems in cities
• Urban population sensing using multi-agent reinforcement learning and for-hire automobiles
• A multimodal, environmentally friendly route orientation system for cities utilising multi-agent technology
• Multi-agent deep learning for motorized network traffic signal control in cities
• A survey on multi-agent coverage searches in unfamiliar situations with barriers
• Evaluating and developing a wireless intrusion detection system using multi-agent system
• An overview of multi-agent based simulation for environmental contamination problems

Guest Editor Details:
Prof. Paweł Skruch
Department of Automatic Control and Robotics,
AGH University of Krakow, Poland
Email: skruch@agh.edu.pl, masterskpawel@gmail.com
Google Scholar: https://scholar.google.com/citations?user=tuCKmRwAAAAJ&hl=en
Short Bio: Pawel Skruch (Senior Member, IEEE) received the M.S. degree (Hons.) in automation control and the Ph.D. degree (summa cum laude) from the Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, AGH University of Science and Technology, Krakow, Poland, in 2001 and 2005, respectively, and the D.Sc. (Habilitation) degree in automatics and robotics from the AGH University, in 2016. He is currently a Professor of control engineering with the AGH University of Science and Technology and also the Advanced Engineering Manager AI and Safety with the Aptiv Technical Center, Krakow. His current research interests include dynamical systems, autonomous systems, artificial intelligence, machine learning, modeling and simulation, and applications of control theory to software systems.

Prof. Saleh Mobayen
Graduate School of Intelligent Data Science,
National Yunlin University of Science and Technology,
Douliou, Yunlin 640301, Taiwan
Email: mobayens@yuntech.edu.tw
Google Scholar: https://scholar.google.com/citations?user=LzZ-OSoAAAAJ&hl=en
Short Bio: Saleh Mobayen (Senior Member, IEEE) was born in Khoy, Iran, in 1984. He received the B.Sc. and M.Sc. degrees in Electrical Engineering, area: Control Engineering, from the University of Tabriz, Tabriz, Iran, in 2007 and 2009, respectively, and received his Ph.D. degree in Electrica Engineering, area: Control Engineering, from Tarbiat Modares University, Tehran, Iran, in January 2013. Currently, he is Associate Professor at the National Yunlin University of Science and Technology (YunTech), Taiwan, and collaborated with the Future Technology Research Center (FTRC). He has published several papers in the national and international journals. His research interests include control theory, sliding mode control, robust tracking, non-holonomic robots and chaotic systems.

Prof. Marek Galinski
Institute of Computer Engineering and Applied Informatics,
Slovak University of Technology in Bratislava,
Bratislava, Slovakia.
Email: marek.galinski@stuba.sk
Google Scholar: https://scholar.google.co.uk/citations?user=LuzEJIcAAAAJ&hl=en
Short Bio: Marek Galinski (Member, IEEE) received the Ph.D. degree from FIIT, STU, Bratislava, in 2020. He is currently an Associate Professor with FIIT, STU. He is also the Head of the Automotive Innovation Laboratory, FIIT, STU. He is the coauthor of book focused on both technical and legal aspects of the cybersecurity of automated vehicles, which has been written in cooperation with the Faculty of Law, Comenius University in Bratislava and published in Wolters Kluwer. With research focused mainly on V2X communications and intelligent mobility in terms of communication architectures and computer networks optimization or security. Together with an interest in LEO satellite networks and new generations of cellular networks, he is focused on the management of heterogeneous networks in terms of low latency and reliability for safety-critical applications in the V2X environment.

Important Dates:

• Submission of papers: 10th March, 2025
• Notification to the authors: 10th May, 2025
• Revision deadline for papers: 30th June, 2025
• Final notification: 30th June, 2025