- Petri Nets in System Modeling
- Traffic control and management
- Transportation Planning and Optimization
- Scheduling and Optimization Algorithms
- Formal Methods in Verification
- Traffic Prediction and Management Techniques
- Advanced Manufacturing and Logistics Optimization
- Business Process Modeling and Analysis
- Simulation Techniques and Applications
- Vehicular Ad Hoc Networks (VANETs)
- Autonomous Vehicle Technology and Safety
- Flexible and Reconfigurable Manufacturing Systems
- Assembly Line Balancing Optimization
- Railway Systems and Energy Efficiency
- Elevator Systems and Control
- Supply Chain and Inventory Management
- Fuel Cells and Related Materials
- Neural Networks and Applications
- Differential Equations and Numerical Methods
- Healthcare Operations and Scheduling Optimization
- Distributed systems and fault tolerance
- Adaptive Dynamic Programming Control
- Hospital Admissions and Outcomes
- Electric and Hybrid Vehicle Technologies
- Transportation and Mobility Innovations
Université de technologie de belfort-montbéliard
2013-2023
Université Bourgogne Franche-Comté
2016-2021
Imagerie Médicale et Radiothérapie Drôme Ardèche
2019
Fédération de Recherche FCLAB
2008
Laboratoire d'Informatique et d'Automatique pour les Systèmes
1999
École nationale d'ingénieurs de Brest
1997
In this paper, we study a theoretical traffic control problem with the consideration of vehicle-to-infrastructure communications. During process, vehicles approaching intersection inform center their data, then authorizes each vehicle precise time to cross by analyzing received information. Our objective is minimize evacuating all autonomous at and key point decide an optimal passing order. An dynamic programming algorithm proposed solve problem.
This paper presents cell-layer-scale multidomain dynamic 1-D proton-exchange-membrane fuel-cell (PEMFC) stack model using VHDL-AMS modeling language. The covers three main energy domains: electrical, fluidic, and thermal. performance advantages of the language are shown in first part. Then, by means ¿top-down¿ approach, electrical-, fluidic-, thermal-domain models PEMFC addressed separate parts. Simulation results then compared with a Ballard 1.2-kW NEXA system show great agreement...
This paper addresses a vehicle sequencing problem for adjacent intersections under the framework of Autonomous Intersection Management (AIM). In context AIM, autonomous vehicles are considered to be independent individuals and traffic control aims at deciding on an efficient passing sequence. Since there considerable combinations, how find sequence in short time becomes big challenge, especially more than one intersection. this paper, we present technique combining certain into some basic...
Recently, new research activities have emerged for controlling traffic. Since future vehicles will travel autonomously and communicate with their surrounding environment, they then be able to negotiate the right-of-way at intersections [cooperative intersection management (CIM)] as well reserve itinerary (road reservation). Both concepts, i.e., CIM road reservation, are very promising relieving traffic congestion. The scope of this paper is prevent deadlock under real-time conditions, by...
In this paper, we propose a new control of traffic lights simple intersection, taking into account vehicle behaviour, integral red and orange phases. We consider the intersection as resource shared between vehicles two roads. Hence, light signal is performed to take each arrival individually. On one hand, allows us distinguish different kinds such public transport emergency vehicles. other since main objective minimization evacuation time, then waiting time dramatically reduced. Moreover,...
Several papers claim that the cooperative intersection management significantly improves performance. The is based on negotiation of "right way" between vehicles. This paper focusses sequence-based protocol. last version this protocol relies a simple signalization system "green" or "red" displayed by an onboard screen to driver. Autonomous vehicles theoretically enhance performance through cruise control. extends high-level in which speed limitation determined sequence and respected...
The signaling system ERTMS/ECTS (European Rail Traffic Management System/ European Train Control System) have been created in order to standardize the railway signal. ERTMS/ETCS permits safe control of railway. Hence, train detection systems must provide with adequate information regarding position and movement trains. This paper describes a colored Petri nets model localization on track equipped second level ERTM. operation is difficult model, because it depends onboard trackside ERTMS...
This study presents the adaptive traffic signal control algorithm in a distributed network system. The proposed is based on micro‐simulation model and reinforcement learning method, namely approximate dynamic programming (ADP). By considering environment discrete time, microscopic built. In particular, authors explore vehicle‐following using cellular automata theory. theoretically contributes to loading an accessible way. To make coordinated, tunable state with weights of queue length...
The green light optimal speed advisory (GLOSA) is one of the most important applications in intelligent transportation systems. existing GLOSA methods can be used to calculate curve, by which vehicle arrive at intersection phase, for purpose reducing trip time and fuel consumption. However, it not guarantee that could with allowed maximum velocity. Therefore, this paper, augmented lagrangian genetic algorithm (ALGA) proposed searching optimized curve all possible curves, according minimal...
The emerging topic of cooperative intersection management for vehicles has raised up new solutions traffic control in order to avoid collisions, deadlocks, and improve efficiency. developed road can easily be applied automated guided overcome the common drawbacks, number a network. In context network only regulated at intersections, we propose an algorithm prevent deadlock intersections vehicles.
This note studies a class of discrete-time nonlinear systems which depend on small parameter. Using the singular perturbation theory in systematic way, we give trajectory approximation result based decomposition model into reduced and boundary layer models. is used to analyze optimal control via maximum principle such systems. As result, significant order reduction problems achieved.
The performance of an enterprise largely depends on the schedule its resources. A good may increase output rate and reduce production costs. Therefore, in this paper, we consider cyclic hoist activities automated electroplating lines which is commonly known as scheduling problem (CHSP). CHSPs appear manufacturing facilities to achieve a mass search repetitive sequence moves for hoist. In such kind lines, used moving electroplates through line tanks containing chemical baths. first study...
This paper is a step towards realization of new way controlling the ordinary traffic at urban intersections. The right addressed to each vehicle individually, according an optimized sequence. aims deepen feasibility issue protocol dedicated human drivers (ordinary vehicles). proposed tested through realistic intersection where vehicles are safely directed intersection. implementation has raised some issues related wireless communication and positioning systems. These discussed solutions...