A. Koukam

• Dr. Habil.
• Professor (Full) at University of Technology of Belfort-Montbéliard

Our current study underscores the central significance of the Quantum kernel within the DENCLUE Clustering Algorithm, providing a novel perspective for understanding data characteristics from a quantum standpoint. While classical kernels depend on conventional distance measures such as Euclidean distance, the quantum kernel employs quantum operator...

The problem of traffic assignment consists of determining the routes taken by the users of transportation infrastructure. This problem has been the subject of numerous studies, particularly in analyzing scenarios for developing road infrastructure and pricing strategies. This paper reviews the major progress in the field. Accordingly, it shows that...

Intersections are at the core of congestion in urban areas. After the end of the Second World War, the problem of intersection management has benefited from a growing body of advances to address the optimization of the traffic lights’ phase splits, timing, and offset. These contributions have significantly improved traffic safety and efficiency in...

The technology of Connected and Autonomous Vehicles (CAV) is a hot topic of transportation systems, especially regarding platooning and the interaction with other road users. Considering traffic safety, many studies have been devoted to the exchange of information among various road users, such as CAVs and pedestrians. In a platooning scenario, whe...

These past years, the domain of Connected and Autonomous Vehicles (CAV) has been extremely flourishing, with fully autonomous self-driving cars being an active research area. The most challenging aspect of the driving task is the interaction between the driver agent and the environment, especially to handle conflicts with the other road users. The...

Transportation in controlled industrial sites provides a conducive environment for technologies of Connected Automated Vehicles (CAV). Recent studies show that safe and efficient road sharing between CAVs and pedestrians is challenging. Besides safety issues, a significant loss of time occurs when pedestrians cross a stream of CAVs. Currently, many...

Quantum computing offers a new approach to the problem modeling and solving. This paper deals with the quantum modeling of reactive agents. It also proposes a quantum algorithm to implement the subsumption architecture, widely used by reactive agents, particularly in robotics. This work shows the contribution of the formalism proposed by quantum me...

This paper aims to contribute to the challenging issue of one microscopic simulation round for dynamic traffic assignment. It relays on the selfish behavior of the vehicle agent that benefits from a more accurate estimation of its travel time. The main novelty is that, rather than considering the average travel times in the network links according...

Conventional intersection managements, such as signalized intersections, may not necessarily be the optimal strategies when it comes to connected and automated vehicles (CAV) environment. Cooperative intersection management (CIM) is tailored for CAVs aiming at replacing the conventional traffic control strategies. This paper focuses on the safety c...

Connected and autonomous vehicles (CAV) is the development trend in the field of transportation systems. Recent studies show that resource sharing between pedestrians and CAV is a big challenge. Considering traffic safety and efficiency at that sharing point not only requires a collision-avoidance system but also more communicative behaviors of the...

Several approaches exist for the lateral control of autonomous vehicles. Among them are the geometric approaches. They are shown to be robust to disturbances and able to manage complex tracks. Their main advantage lies on the fact that they are explainable, in the sense that their behavior can be analyzed to provide guarantees about their limitatio...

In past years, 3D models of virtual worlds have been used in several applications such as urban planning, simulation and design. In the railway field, that we chose as a field of application to illustrate our proposals in this article, simulation makes sense because of the complexity involved. The simple fact of make rolling a train requires a spec...

With the fast development of human society, as environmental issues have drawn incomparable attention, energy efficiency is playing a significant role in residential buildings. Meanwhile, spending more time in homes leads people to constantly improve comfort there. Considering the fact that space heating makes a great contribution to residential en...

Autonomous vehicles that are able to communicate together allowed the emergence of a new way of controlling intersections. Recently an active research community stakes on cooperative intersection management. Vehicles and intersection are able to communicate together in order to improve traffic condition at intersections. Many simulations have shown...

Vehicles are being equipped with more and more smart devices, which help the driver in his tasks. Alongside the trend to more and more autonomous vehicles emerges the possibility of making vehicles that move together as a platoon, which can be defined as a spatiooral organization of a set of vehicles based on a specific predetermined geometrical co...

Autonomous vehicles that are able to communicate together allowed the emergence of a new way of controlling intersections. Recently an active research community stakes on cooperative intersection management. Vehicles and intersection are able to communicate together in order to improve traffic condition at intersections. Many simulations have shown...

This research paper is a literature review on the behavioral shift using agent-based modeling. We will go through different topics based on agent-based modeling. This research paper points out on different sayings on behavioral shifts. Moreover, it explains the modern research on this topic and many pros and cons on a behavioral shift by using agen...

Agent-Based modelling has been around us for quite some time now and has thus become a crucial factor for executing prediction-based planning, such as the transportation models for metropolitan cities. This paper undertakes the fundamental understanding of the agent-based modeling and simulation and its application to the transportation models whil...

Microgrids are increasingly popular small-scale power systems with local generation, storage and loads. Interconnecting several microgrids together could provide a flexible structure for power distribution and enable large renewable and distributed penetration levels, as well as coordination between microgrids when disturbances occur. This paper pr...

Among the innovations aimed at tackling the transportation issues in urban areas, one of the most promising solutions is the possibility of making virtual trains of vehicles so as to provide a new kind of transportation system. Even if this kind of solution is now widespread in literature, some difficulties still need to be resolved. For instance,...

Cyber-Physical system (CPS) are now widely used in the design of smart objects. A CPS is the integration of computational elements with physical processes. One of the most widespread application of CPS is the autonomous transportation systems. This paper presents a CPS model for the design of a platoon system approach (i.e. a set of autonomous vehi...

Vehicle platoon systems can be considered as good alternative solutions to traffic problems encountered in urban environment. Indeed, they allow to propose new public transportation models based on size adaptable trains. In other fields, such as military operation theaters and agricultural fields, platoon systems can also solve specific problems. T...

Demand response can potentially lead to economic and environmental advantages, but non-coordinated scheduling and operation of controllable devices in a set of smart homes will make peak rebounds at periods with lower electricity prices happen, which may damage the power grid, cause unforeseen disasters, and reduce the global profit. In this work,...

In the 21st century, enterprises face an increasingly competitive market place. In this context, the success of enterprises depends critically on the quality and efficiency of their product business processes. These processes generally aim to sell products or services. The approach presented in this paper aims at the assistance of teams following t...

Formal methods, in particular the B Method and its extension Event-B are used to validate the system correctness and to verify its properties. The weak point here is that Event-B that don’t support quantitative analysis of performance and/or dependability. For this reason, we transform an Event-B specification to another formalism which automatical...

With the fast development of human society, on one hand, environmental issues have drawn incomparable attention, so energy efficiency plays a significant role in smart buildings; on the other hand, spending more and more time in buildings leads occupants constantly to improve the quality of life there. Hence, how to manage devices in buildings with...

Developing control and perception algorithms for autonomous vehicle is a high time cost activity if one performs it directly on vehicles hardware level. Moreover, some test cases are hard to reproduce. For this reason, many laboratories and companies are generally using simulation tools. The goal of these tools is to benefit from a testing environm...

Carpooling is an emerging alternative transportation mode that is eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission and traffic congestion. The procedure of carpooling consists of a number of steps namely; (i) create a motive to carpool, (ii) communicate this motive with other agents, (iii) negotiat...

Patrolling an environment consists in visiting as frequently as possible its most relevant areas in order to su-pervise, control or protect it. This task is commonly performed by a team of agents that need to coordinate their actions for achieving optimal performance. We address here the problem of multi-agent patrolling in known environments where...

In this paper we carry out an overview and analysis of the usage of semantics to enhance environments in the domain of multiagent-based simulations. Firstly, we take a look at what a multi-agent system (MAS) is, and after that we look at the environment for these systems, and why semantics are required in it. Various propositions to put semantics i...

Patrolling an environment consists in visiting as frequently as possible its most relevant areas in order to supervise, control or protect it. This task is commonly performed by a team of agents that seek to optimize a performance criterion generally based on the notion of node idleness, that is the period during which a node remains unvisited. For...

Multiagent-based simulations enable us to validate different use-case scenarios in a lot of application domains. The idea is to develop a realistic virtual environment to test particular domain-specific procedures. This paper presents a multilevel model of a physic environment for the simulation of crowd in a virtual 3D building. The major contribu...

Agent-based models may be now used for modeling complex transportation systems. They permit the analysis and the understanding of the complex phenomenon of interactions between different entities. This paper proposes a multiagent model for the microscopic simulation of drivers in a virtual environment. It is based on the definitions and constraints...

With the fast development of information technology and increasingly prominent environmental problem, building comfort and energy management become the major tasks for an intelligent residential building system. According to statistical studies, people spend 80% of their lives in buildings. Hence it is not surprising that they constantly seek to im...

Patrolling an environment involves a team of agents whose goal usually consists in continuously visiting the most relevant areas as fast as possible. In this paper, we follow up on the work by Santana et al. who formulated this problem in terms of a reinforcement learning problem, where agents individually learn an MDP using Q-Learning to patrol th...

une plateforme open source dédiée à l'étude de problèmes de décision séquentielle dans des systèmes multiagents Résumé : Cet article présente les fonctionnalités, les concepts sous-jacents et l'architecture générale de la plateforme open source IPSEITY, développée en C++ avec le framework Qt 1 . IPSEITY a été conçue pour permettre de faciliter le d...

This article presents an overview of Ipseity, an open-source platform developed in C++ with the Qt framework. The current version of the platform includes a set of plugins im-plementing single-agent and multi-agent environments, hard-coded controllers based on Artificial Intelligence (AI) tech-niques, classical Reinforcement Learning (RL) technique...

The study of the individual mobility phenomena is significant in the fields of the development of urban sites, the study of security, the architecture, and the flow analysis. Whatever the studied environment, indoor or outdoor, the multi- agent approach is a highly suitable tool to study the dynamics of displacement. This paper presents an environm...

Patrolling an environment involves a team of agents or robots whose goal usually consists in continuously visiting its most relevant areas as frequently as possible. For such a task, agents have to coordinate their actions in order to achieve their goal. In this paper, our agents are sensors, with a radius of a communication and sensory radius. In...

Patrolling an environment involves a team of agents whose goal usually consists in continuously visiting its most relevant areas as frequently as possible. Hence, patrolling consists in continuously visiting relevant areas of an environment, in order to efficiently surpervise or control it. The Ant Colony Optimization (ACO) is adopted as the soluti...

Multiagent-based simulations enable us to validate different use-case scenarios in a lot of application domains. The idea is to develop a realistic virtual environment to test particular domain-specific procedures. This paper presents our general framework for interactive multiagent-based simulations in virtual environments. The major contribution...

In order to assist the development of multi-agent systems, agent-oriented methodologies (AOM) have been created in the last years to support modeling more and more complex applications in many different domains. By defining in a non-ambiguous way concepts used in a specific domain, Meta modeling may represent a step towards such interoperability. I...

With the fast development of information technol- ogy and increasingly prominent environmental problem, building comfort and energy management become the major tasks for an intelligent residential building system. According to statis- tical studies, people spend 80% of their lives in buildings. With increasingly conscious of their quality of life,...

Reactive multi-agent systems are increasingly applied to problem solving, modelling and simulation. Among the benefits of this approach, there is the capability to solve complex problems, whereas maintaining functional and conceptual simplicity of involved entities. Many examples have shown that approaches based on multi-agent systems are effective...

Since several years, multi-agent systems have been used for wide range of application areas and particularly in systems modelling and simulation. Those systems are based on the interaction of several individual components, called agents, which are proactive considering interaction with neighbours and with the surrounding environment. The IRTES-SeT...

This chapter introduces an agent-oriented software process for engineering complex systems called aspecs. aspecs is based on a holonic organizational metamodel and provides a step-by-step guide from requirements to code, allowing the modeling of a system with different levels of details using a set of refinement methods. This chapter introduces the...

Nowadays,urbanenvironmentssufferfromrecurrenttrafficjamwithassociatedsideeffects.Platoonsystem, a setofvehicleattachbyvirtuallink,isoneofanswer.inordertocopewithissuessuchasdifferentplatoon geometrics sinceseveralyears,we’reseeingthemulti-agentsystemaselementofresponsetomanyproblems. This papertoapplythisconceptforplatoonvehiclessystemthroughanmult...

The electric grid is evolving towards wh at has been defined as the “smart grid paradigm.” The development of communication in frastructures provides power electronics interfaces with the ability to control complex power systems in efficient and scalable ways and in real-time. Multi-Agent Systems (MAS) are based on distributing information and comp...

This article introduces a new collision avoidance model enabling the design of efficient realistic virtual pedestrian and cyclist behaviors. It is a force-based model using collision prediction with dynamic time-windows to predict future potential collisions with obstacles and other individuals. It introduces a new type of force called sliding forc...

The construction of ad-hoc design processes is more and more required today. In this paper we present our approach for the construction of a new design process following the Situational Method Engineering paradigm. We mainly focus on the selection and assembly activities on the base of what we consider a key element in agent design processes: the M...

The aim of this paper is to build an ontology of organizations. This ontology will be used to analyze, reason and understand organizations. The targeted organizations are those composed of individuals involved in the design of a product and, to do so, following a design process. This ontology will be used to support knowledge management within the...

Smart Microgrids bring numerous challenges, including how to leverage the potential benefits of renewable energy sources while maintaining acceptable levels of reliability in the power infrastructure. One way to tackle this challenging problem is to use intelligent storage systems (batteries and super-capacitors). Charging and discharging them at t...

On the basis of analysis on the scene files of mobility models in Ad Hoc network, the paper presents a network topology snapshots capturing method to obtain the Ad Hoc network topology architecture at any moment. Through analyzing on the Ad Hoc network topology snapshots, some dynamic characteristic parameters of Ad Hoc network, such as the number...

,

Abstract—The objective of this work is to formalize a Holonic methodology called ASPECS by using a formal specification approch based on two formalisms: Petri Net (PN) and Object-Z (OZ) language. Such a specification style facilitates the modeling of complex systems with both structural and behavioral aspects. Our generic approach is illustrated by a...

This paper presents the JaSIM environment model. It gathers experiences collected on design of the environment - as a first-class entity - coming from both multiagent and computer graphics domains. Its main goal consists in providing a sets of models and tools to easily implement crowd and traffic MABS. JaSIM integrates efficient hierarchical and g...

In complex systems, multiple aspects interact and influence each other. A vast number of entities are present in the system. Traditional modeling and simulation techniques fail to capture interactions between loosely coupled aspects of a complex distributed system. The objective of this work is to formalize and to specify a part of the Agent-orient...

This paper introduces a novel framework with the ability to adjust simulation’s accuracy level dynamically for simplifying the dynamics computation of large particle systems to improve simulation speed. Our new approach follows the overall structure of the well-known Fast Multipole Method (FMM) coming from computational physics. The main difference...

Poster Session. The modeling of pedestrian and vehicle dynamics is of great theoretical and practical interest. In the past two decades research from a broad range of fields such as computer graphics, physics, robotics, social science, safety science and training systems has created simulations involving collections of individuals. Two major kinds...

Poster Session. Multiagent-based simulation is now a common tool in various application domains to assess/validate different use-case scenarios: social sciences, urban management, transport, building security assesment, etc. The idea is to develop realistic virtual environment to test particular domain-specific procedures. Develop realistic scenari...

This paper introduces an automatic learning algorithm based on genetic programming to derive local and multipole expansions required by the Fast Multipole Method FMM. FMM is a well-known approximation method widely used in the field of computational physics, which was first developed to approximately evaluate the product of particular N×N dense mat...

This paper presents a reactive multi-agent system for echelon platoon organization. Platoon systems are sets of vehicles that move together while keeping a predefined geometrical configuration without any material coupling. Each vehicle represents an autonomous agent that behaves based only on its own perceptions. The distributed platoon organizati...

This paper presents a methodology for the verification of reactive multi-agent systems (RMAS). High level of confidence about a safe operation is a mandatory in many reactive applications. Model-checking appear as an adequate tool for the verification of safety properties. However, model-checking can be confronted with the problem of intractable st...

In this paper we propose a new metamodel to represent data for mutliagent-based simulations. Using this model, we also propose a method to perform the qualification of a building as soon as it is designed. The metamodel relies on semantic structures and allows representing both agents and environment. The representation of the environment use two k...