URI | http://purl.tuc.gr/dl/dias/A7A617AF-4679-4489-B214-C6C3A4C897F7 | - |
Identifier | https://doi.org/10.25368/2023.96 | - |
Identifier | https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-859532 | - |
Language | en | - |
Extent | 10 pages | en |
Title | GLOSA system with uncertain green and red signal phases | en |
Creator | Typaldos Panagiotis | en |
Creator | Τυπαλδος Παναγιωτης | el |
Creator | Koutsas Petros | en |
Creator | Κουτσας Πετρος | el |
Creator | Papamichail Ioannis | en |
Creator | Παπαμιχαηλ Ιωαννης | el |
Creator | Papageorgiou Markos | en |
Creator | Παπαγεωργιου Μαρκος | el |
Publisher | Technische Universität Dresden | en |
Description | The research leading to these results has received funding from the European Research Council under the European Union’s Horizon 2020 Research and Innovation programme/ ERC Grant Agreement n. [833915], project TrafficFluid. | en |
Content Summary | A discrete-time stochastic optimal control problem was recently proposed to address the GLOSA (Green Light Optimal Speed Advisory) problem in cases where the next signal switching time is decided in real-time and is therefore uncertain in advance. However, there was an assumption that the traffic signal is initially red and turns to green, which means that only half traffic light cycle was considered. In this work, the aforementioned problem is extended considering a full traffic light cycle, consisting of four phases: a certain green phase, during which the vehicle can freely pass; an uncertain green phase, in which there is a probability that the traffic light will extend its duration or turn to red at any time; a certain red phase during which the vehicle cannot pass; and an uncertain red phase, in which there is a probability that the red signal may be extended or turn to green at any time. It is demonstrated, based on preliminary results, that the proposed SDP (Stochastic Dynamic Programming) approach achieves better average performance, in terms of fuel consumption, compared to the IDM (Intelligent Driver Model), which emulates human-driving behavior. | en |
Type of Item | Σύντομη Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Short Paper | en |
License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
Date of Item | 2024-06-25 | - |
Date of Publication | 2022 | - |
Subject | GLOSA systems | en |
Subject | Stochastic dynamic programming | en |
Subject | Speed advisory | en |
Subject | Traffic signals | en |
Bibliographic Citation | P. Typaldos, P. Koutsas, I. Papamichail and M. Papageorgiou, “GLOSA system with uncertain green and red signal phases,” in 4th Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS 2022), Dresden, Germany, November 30 - December 2, 2022, pp. 37-46, doi: 0.25368/2023.96. | en |