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 launches spin-off Stokhos Emergency Mathematics
Centrum Wiskunde & Informatica (CWI) announces the foundation of its new spin-off Stokhos Emergency Mathematics. Stokhos provides software solutions which enable the proactive relocation of emergency services based on predictions of future demand.
Mathematical models for optimal coverage of emergency services
Providing proper care in time in emergency situations. This is what emergency services stand for. On 6 June mathematician Pieter van den Berg defends his PhD thesis at TU Delft. He developed models for optimising the logistics of emergency response vehicles.
Increased call center efficiency by identifying redialers
Call centers should base their staff planning on the number of unique callers instead of the total number of calls. Furthermore, introducing a system that gives redialers priority over fresh callers both reduces the average waiting time and improves the fairness of the system. This can be concluded from a study on call center management conducted by CWI.
Firefighters better in position with mathematical model
How could firefighters position themselves even better in a region? If multiple stations are busy fighting a major fire, where should vehicles of other fire stations go to for optimal coverage?
Members
- Mihail Bazhba
- Rob van den Berg
- Guus Berkelmans
- Wouter Berkelmans
- Ayan Bhattacharya
- Bohan Chen
- Daan Crebolder
- Sara Ghazanfari
- Jan Klein
- Thomas Koch
- Marie-Colette van Lieshout
- Maria Mahfoud
- Rob van der Mei
- Tommaso Nesti
- Rudesindo Núñez Queija
- Brendan Patch
- Joris Pries
- Emil Rijcken
- Dmitrii Usanov
- Peter van de Ven
- Bert Zwart
- Bernard Zweers
Associated Members
Publications
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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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De Bascule - Betere hulp op maat voor jongeren met G moji app - 2 mei 2019. (2019). De Bascule - Betere hulp op maat voor jongeren met G moji app - 2 mei 2019.
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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.
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Cahen, E.J. (2019, January 21). Rare-event simulation for multidimensional stochastic models.
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Klein, J.G, Bhulai, S, Hoogendoorn, M, van der Mei, R.D, & Hinfelaar, R. (2018). Detecting network intrusion beyond 1999: Applying machine learning techniques to a partially labeled cybersecurity dataset. In Proceedings workshop on Data Science for Crime Analytics.
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Chen, B, Rhee, C.H, & Zwart, A.P. (2018). Importance sampling of heavy-tailed iterated random functions. Advances in Applied Probability, 50(3), 805–832. doi:10.1017/apr.2018.37
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Boxma, O.J, & Zwart, A.P. (2018). Fluid flow models in performance analysis. Computer Communications, 131, 22–25. doi:10.1016/j.comcom.2018.07.009
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Hristov, A. V, Bhulai, S, van der Mei, R.D, & Bosman, J.W. (2018). Control of a tandem queue with a startup cost for the second server. Stochastic Models, 34(3), 362–374. doi:10.1080/15326349.2018.1491314
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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Verbeteren van de efficiency en prestatie van logistieke processen in de binnenvaart
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Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
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Emergency Service Logistics: Network Design and Dynamic Dispatching (DYNAMERGE)
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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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PPS Engie
Related partners
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CTVrede
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De Verkeersonderneming
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Gemeente Amsterdam
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Stichting 113
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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