Description

Leader of the group Stochastics: Bert Zwart.

 

Many natural and man-made systems and processes are driven by random phenomena. Examples can be found in areas such as communication, energy, information, logistics, and transportation systems. In order to model, describe, and improve such systems, our group develops and studies probabilistic, operational and statistical models. Our group’s analysis of these models relies on techniques from fundamental probability theory, queueing theory, stochastic scheduling, spatial stochastics and stochastic geometry. Our work with various companies in these areas, as well as with top researchers and universities across the globe, ensures our position at the forefront of every aspect of this research field.

More

News

More efficient ambulance planning with new mathematical models

More efficient ambulance planning with new mathematical models

In serious life-threatening situations a fast ambulance response is required. Late arrivals can have a serious impact on the well-being of the patients and can also have consequences regarding policy making. In practice, providing a fast ambulance response time is not always possible. PhD candidate Martin van Buuren of CWI has developed mathematical models that can help to realize fast response times.

More efficient ambulance planning with new mathematical models - Read More…

Members

Associated Members

Publications

Current projects with external funding

  • Impactstudie Noord/Zuidlijn Gemeente Amsterdam
  • Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken
  • PPS met Cofely
  • Rare events: Asymptotics, Algorithms, Applications
  • Verbeteren van de efficiency en prestatie van logistieke processen in de binnenvaart
  • Two-dimensional models in queues and risk (2QR)
  • Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
  • Emergency Service Logistics: Network Design and Dynamic Dispatching (DYNAMERGE)

Related partners

  • CTVrede
  • De Verkeersonderneming
  • Gemeente Amsterdam
  • Stichting Sensor City
  • Cofely West Nederland