Bibliographical note
This prototyping environment is made available to evaluate predictive traffic signal control applications in a 'controlled' real-time simulation environment to gain insights for development and design of these predictive control systems in real-life.
The prototyping environment is developed as part of a PhD project to study predictive traffic signal control systems under uncertainties. PhD thesis: M.C. Poelman, "Predictive Traffic Signal Control under Uncertainty: Analyzing and Reducing the Impact of Prediction Errors," Delft University of Technology, 2024.
The research project is a cooperation between DiTTlab of Delft University of Technology and Royal HaskoningDHV. The project is part of the overall project MiRRORS - Multiscale integrated traffic observatory for large road networks, s
The prototyping environment is developed as part of a PhD project to study predictive traffic signal control systems under uncertainties. PhD thesis: M.C. Poelman, "Predictive Traffic Signal Control under Uncertainty: Analyzing and Reducing the Impact of Prediction Errors," Delft University of Technology, 2024.
The research project is a cooperation between DiTTlab of Delft University of Technology and Royal HaskoningDHV. The project is part of the overall project MiRRORS - Multiscale integrated traffic observatory for large road networks, s
| Date made available | 21 Aug 2024 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Dissertation (TU Delft)
-
Predictive Traffic Signal Control under Uncertainty: Analyzing and Reducing the Impact of Prediction Errors
Poelman, M. C., 2024, 142 p.Research output: Thesis › Dissertation (TU Delft)
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