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.
News
CWI researchers make power grid more reliable with mathematics
Researchers from Centrum Wiskunde & Informatica (CWI) discovered how large fluctuations in solar and wind energy, combined with the physical network dynamics of electricity, can cause failures in power grids.
Bart Kamphorst finds best possible scheduling policy for servers in information-scarce settings
Nobody fancies a long wait between requesting some kind of online service and actually receiving that service. Therefore, in many situations, ICT-specialists aim to design their servers in such a way that their customers are served in an efficient manner. Research of CWI PhD-student Bart Kamphorst contributes a number of performance analyses of blind algorithms and moreover identifies a blind algorithm that is in some sense optimal.
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.
Caroline Jagtenberg awarded Rubicon grant
Caroline Jagtenberg, who recently obtained her PhD at CWI, has been awarded an NWO Rubicon grant. With the grant, Jagtenberg will do research at the University of Auckland (New Zealand) for a period of two years.
Members
Associated Members
Publications
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Bazhba, M, Blanchet, J, Rhee, C.H, & Zwart, A.P. (2019). Queue length asymptotics for the multiple-server queue with heavy-tailed Weibull service times. Queueing Systems, 93(3-4), 195–226. doi:10.1007/s11134-019-09640-z
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Usanov, D, van de Ven, P.M, & van der Mei, R.D. (2019). Dispatching fire trucks under stochastic driving times. Computers and Operations Research, 114. doi:10.1016/j.cor.2019.104829
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van Leeuwaarden, J.S.H, Mathijsen, B, & Zwart, A.P. (2019). Economies-of-scale in many-server queueing systems: Tutorial and partial review of the QED Halfin-Whitt heavy-traffic regime. SIAM Review, 61(3), 403–440. doi:10.1137/17M1133944
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Aveklouris, A, Vlasiou, M, & Zwart, A.P. (2019). Bounds and limit theorems for a layered queueing model in electric vehicle charging. Queueing Systems, 1–55. doi:10.1007/s11134-019-09616-z
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Gromoll, H.C, Terwilliger, B, & Zwart, A.P. (2019). Heavy traffic limit for the workload plateau process in a tandem queue with identical service times. Stochastic Processes and their Applications. doi:10.1016/j.spa.2019.05.007
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van Kampen, J.R.A, Pauwels, E.J.E.M, van der Mei, R.D, & Dugundji, E.R. (2019). Analyzing potential age cohort effects in car ownership and residential location in the metropolitan region of Amsterdam. In 10th International Conference on Ambient Systems, Networks and Technologies (pp. 543–550). doi:10.1016/j.procs.2019.04.073
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Knapen, L, Koch, T, & Dugundji, E.R. (2019). Bicyclist route choice: Data exploration and research project outline. In 10th International Conference on Ambient Systems, Networks and Technologies (pp. 401–408). doi:10.1016/j.procs.2019.04.055
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Liu, N, van de Ven, P.M, & Zhang, B. (2019). Managing appointment booking under customer choices. Management Science, 65(9), 4280–4298. doi:10.1287/mnsc.2018.3150
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Zweers, B.G, van der Mei, R.D, & Bhulai, S. (2019). Optimizing barge utilization in hinterland container transportation. Naval Research Logistics, 66(3), 253–271. doi:10.1002/nav.21837
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van Leeuwen, D. (2019, January 23). Stochastic modelling and control of road traffic congestion.
Current projects with external funding
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Rare events: Asymptotics, Algorithms, Applications ()
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Impactstudie Noord/Zuidlijn Gemeente Amsterdam
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Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken
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Samenwerkingsovereenkomst Stichting 113 / CWI - Zelfmoordpreventie
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Data-driven optimization for a vital elderly care system in the Netherlands (DOLCE VITA)
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Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
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G-Moji self-help in the palm of your hand for youth at risk (G-Moji)
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Lane Analysis & Route Advisor (LARA)
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CT Vrede Steinweg PPS (extensie) (None)
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State estimation for spatio-temporal point processes with applications to criminology (None)
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PPS Engie
Related partners
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De Verkeersonderneming
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Gemeente Amsterdam
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Stichting 113
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Academisch Medisch Centrum
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Stichting Sensor City
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Engie Services West Nederland B.V.
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Universiteit van Amsterdam
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Vrije Universiteit Amsterdam