Efficient evaluation of stochastic traffic flow models using Gaussian process approximation PJ Storm, M Mandjes, B van Arem Transportation Research Part B: Methodological 164, 126-144, 2022 | 7 | 2022 |
Roundabout model with on-ramp queues: Exact results and scaling approximations PJ Storm, S Bhulai, W Kager, M Mandjes Physical Review E 101 (1), 012311, 2020 | 7 | 2020 |
A Diffusion-Based Analysis of a Multiclass Road Traffic Network M Mandjes, J Storm Stochastic Systems 11 (1), 60-81, 2021 | 6 | 2021 |
Diffusion limits for a Markov modulated binomial counting process P Spreij, J Storm Probability in the Engineering and Informational Sciences 34 (2), 235-257, 2018 | 4 | 2018 |
Diffusion limits for a Markov modulated counting process P Spreij, J Storm arXiv preprint arXiv:1801.03682, 2018 | 4 | 2018 |
Diffusion-based staffing for multitasking service systems with many servers J Storm, W Berkelmans, R Bekker Mathematics of Operations Research, 2023 | 3 | 2023 |
A Gaussian segment-based traffic flow model for the design and control of transport networks M Mandjes, J Storm arXiv preprint arXiv:2007.07339, 2020 | 3 | 2020 |
Stability of a stochastic ring network PJ Storm, W Kager, M Mandjes, S Borst Performance Evaluation 162, 102355, 2023 | 2 | 2023 |
On the class of matrices with rows that weakly decrease cyclicly from the diagonal W Kager, PJ Storm Linear Algebra and its Applications 673, 200-219, 2023 | | 2023 |
Diffusion-level universality of many-server systems with concurrent service PJ Storm, S Borst Operations Research Letters 51 (3), 212-219, 2023 | | 2023 |
Towards approximately optimal assessments—A tractable methodology A Sapountzi, S Bhulai, PJ Storm, M Meeter | | 2022 |
Stochastic traffic flow models: Asymptotic analysis, stability and applications PJ Storm Vrije Universiteit Amsterdam, 2021 | | 2021 |
Road traffic network design and control using a multi-class diffusion model MRH Mandjes, PJ Storm Proceedings of the Transportation Science and Logistics Society Second …, 2020 | | 2020 |