A5009729687- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Vehicle Routing Optimization Methods
- Evacuation and Crowd Dynamics
- Advanced Manufacturing and Logistics Optimization
- Scheduling and Optimization Algorithms
- Optimization and Search Problems
- Auction Theory and Applications
- Modular Robots and Swarm Intelligence
- Data Management and Algorithms
- Robotic Path Planning Algorithms
- Context-Aware Activity Recognition Systems
- Facility Location and Emergency Management
- Traffic control and management
- Human Mobility and Location-Based Analysis
- Multi-Agent Systems and Negotiation
- Time Series Analysis and Forecasting
- Blockchain Technology Applications and Security
- Data Mining Algorithms and Applications
- Mobile Crowdsensing and Crowdsourcing
- Robotics and Automated Systems
- Advanced Database Systems and Queries
- Smart Agriculture and AI
- Supply Chain and Inventory Management
- Urban and Freight Transport Logistics
Universidad Rey Juan Carlos
2011-2024
Université de Lille
2018-2024
Centre de Recherche en Informatique
2024
IMT Nord Europe
2013-2021
École des Mines de Douai
2016-2017
University of Rome Tor Vergata
2009-2011
In this paper, we consider the route coordination problem in emergency evacuation of large smart buildings. The building time is crucial saving lives situations caused by imminent natural or man-made threats and disasters. Conventional approaches to are static predefined. They rely on plans present only at a limited number locations possibly trained personnel resolve unexpected contingencies. Smart buildings today equipped with sensory infrastructure that can be used for an autonomous...
Fleet management systems are commonly used to coordinate mobility and delivery services in a broad variety of domains. However, their traditional top-down control architecture becomes bottleneck open dynamic environments, where scalability, proactiveness, autonomy becoming key factors for success. Here, the authors present an abstract event-based fleet that supports tailoring regimes coordinating vehicles, illustrate it case medical emergency management. Then, they go one step ahead...
In this paper, we propose a multi-agent-based architecture for Unity3D simulation of dynamic agrirobot-fleet-coordination methods. The is based on Robot Operating System (ROS) and Agrobots-SIM package that extends the existing Patrolling SIM made multi-robot patrolling. accommodates task allocation vehicle routing considering limited robot battery autonomy. Moreover, it assignment implements to robots execution heterogeneous tasks. system coordinates in real time responds unforeseen...
Rapidly changing detrimental safety conditions on an evacuation route might cause casualties and provoke panic. This is why we need to take into account these for real-time optimization. The objective of this paper facilitate efficient people through dynamic optimi zation routes based the stress-related evacuees' responses same. We propose a multi-agent optimization architecture smart space networks that considers influence stress human reactions recommended routes. meant as decision support...
In this paper we study the problem of assignment road paths to vehicles. If assume available real-time network information, then (self-concerned) vehicles select in a way related user optimization which results Wardrop equilibrium. The latter, even though fair for same Origin-Destination (O-D) pair, general can be arbitrarily more costly than system optimum. System optimization, on other hand, produce unfair assignments both as different O-D pairs. To surmount performance issue user- respect...
To date, the research on agriculture vehicles in general and Agriculture Mobile Robots (AMRs) particular has focused a single vehicle (robot) its agriculture-specific capabilities. Very little work explored coordination of fleets such daily execution farming tasks. This is especially case when considering overall fleet performance, efficiency scalability context highly automated that perform tasks throughout multiple fields potentially owned by different farmers and/or enterprises. The...
Many challenges in today's society can be tackled by distributed open systems. This is particularly true for domains that are commonly perceived under the umbrella of smart cities, such as intelligent transportation, energy grids, or participative governance. When designing computer applications these domains, it necessary to account fact elements systems, often called software agents, usually made different designers and act on behalf particular stakeholders. Furthermore, unknown at design...
Nowadays, vehicles of modern fleets are endowed with advanced devices that allow the operators a control center to have global knowledge about fleet status, including existing incidents. Fleet management systems support real-time decision making at so as maximize perf ormance. In this paper, setting out from our experience in dynamic coordination systems, we focus on open, and highly autonomous. Furthermore, propose how cope scalability problem number grows. We present proposed architecture...
One of the major challenges in coordination large, open, collaborative, and commercial vehicle fleets is dynamic task allocation. Self-concerned individually rational drivers have both local global objectives, which require using some fair efficient allocation method. In this paper, we review literature on scalable focusing deterministic two-dimensional linear assignment problems. We focus multiagent system representation open where dynamically appearing vehicles are represented by software...