The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/d19fff77-e5d1-408b-b779-478a7cc88087

Poelman, Muriel (2024): Real-Time Predictive Traffic Signal Control Application for Prototyping. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/d19fff77-e5d1-408b-b779-478a7cc88087.v1

Software

• Transport

model predictive control, prediction error, prediction uncertainty, robust control, sensitivity analysis, traffic signal control

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Muriel Poelman

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, sponsored by the Dutch Foundation for Scientific Research NWO / Applied Sciences under grant number 16270.

Contact: Muriel Verkaik-Poelman (muriel.verkaik-poelman@rhdhv.com)

• 2024-08-21 first online, published, posted

4TU.ResearchData

vcxproj/cpp

https://github.com/MurielPoelman/Predictive_Traffic_Signal_Control.git

Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning; Royal HaskoningDHV, Department of Flowtack