'Dynafloat: Dynamic urban traffic management using floating car, planning, and infrastructure data' This research project focuses on logistics and mobility, and seeks to reconcile economic, social and ecological objectives. That is: transport and logistics should be maximally efficient, with minimum delay and limited adverse impact on the environment (carbon and particle emission, noise). The project deals with developing brand new analytical models for the dynamic traffic control (at the tactical as well as operational level) through road infrastructures and based on the three sorts of input data, mentioned before.
Anomalous decisions emergence system The goal of this project is the development of mathematical tools for emerging anomaliness in workflows and data flows for systems in which bounded rational decision-making takes place.
Deploying Security Measures to intercept multiple simultaneous threats The effects of terrorist and piracy activities, or generally speaking activities of intelligent opponents can have a large impact on the socio-economic and military well-fare. To counter these increasing, multiple threats, security measures/forces should be deployed to surveil and patrol assigned areas to protect valuable objects and critical infrastructure (e.g. harbours, airports, merchant ships and routes).
Distributed planning of clinical pathways The project focuses at the long term level to control the length of clinical pathways. Theoretic queueing models will be developed to analyze the logistical performance. Two viewpoints are dealt with: (1) the clinical pathway viewpoint, and (2) the patient viewpoint.
Optimal Logistic Design of Multidisciplinary Care Pathways Driven by public opinion, increased health expenditures, an ageing population, and long waiting lists, a flood of changes in the healthcare system has been set in motion to try to make the Dutch hospitals more efficient. In this research, we will investigate how the capacity planning and control in a multidisciplinary care pathway should be organized, such that timely treatment for all patients can be ensured while an efficient care pathway is maintained.
Optimizing healthcare logistics Driven by increased health expenditures, an ageing population, and long waiting lists, the majority of the health care organisations is reconsidering the internal work processes. The challenge is to redesign the work flow in such a way that both the interests of the patient and of the organisation are addressed.
Pattern Recognition in Spatial-Temporal Graphs We model crowds as dynamic spatial graphs with a node representing a person, and a link representing the fact that two people have been detected to be in each other’s proximity. The result is a continuously changing graph. When observing crowds in terms of such graphs, patterns emerge such as lane formation, cyclic movements, congestions, and so forth. In this project, we study the automated detection and recognition of such patterns from dynamic spatial graphs.
Smart Radio: Improving performance of mobile radio access The scope of the Smart Radio project is the development of mobile radio access standards that offer improved capacity, data rates and reliability. Particularly, the project investigates the application of network coding concepts to the evolution of the LTE standard. Network coding is a family of coding technologies that promise more effective use of network resources
TENETS: Towards efficient simulation of non-Markovian queueing networks This project aims at developing provably efficient techniques for the simulation of rare events in non-Markovian queueing networks, motivated by the need to accurately estimate failure probabilities in practical systems. This project will move into an unexplored area of stochastic discrete-event simulation, and is challenging as it is a novel combination of three aspects: the non-Markovian nature of the systems, the study of networks of queues rather than single queues, and the aim of achieving provably efficient results.