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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/3F9A6C00-4B9B-4EB9-A212-4EA1EB221EB0 | - |
| Identifier | https://doi.org/10.1109/ITSC45102.2020.9294361 | - |
| Identifier | https://ieeexplore.ieee.org/document/9294361 | - |
| Language | en | - |
| Extent | 8 pages | en |
| Title | A max pressure approach to urban network signal control with queue estimation using connected vehicle data | en |
| Creator | Cao Jingnan | en |
| Creator | Hu Yonghui | en |
| Creator | Manolis Diamantis | en |
| Creator | Μανωλης Διαμαντης | el |
| Creator | Zhang Siyu | en |
| Creator | Wang Yibing | en |
| Creator | Guo Jingqiu | en |
| Creator | Papamichail Ioannis | en |
| Creator | Παπαμιχαηλ Ιωαννης | el |
| Creator | Papageorgiou Markos | en |
| Creator | Παπαγεωργιου Μαρκος | el |
| Creator | Zhang Lihui | en |
| Creator | Hu Jun Simon | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Max pressure (MP) is a distributed strategy for adaptive urban traffic signal control. Real-time queue estimation for road links is indispensable for MP-based traffic control. All works conducted so far on MP traffic signal control assumed that accurate information of vehicle queues was directly available in real time. This paper studies joint queue estimation and MP control for signalized urban networks with connected vehicles. For the sake of practical significance, the cases of link queue estimation and lane-wise queue estimation were both considered as input to the MP traffic signal control. A congested 3*3 network was emulated using AIMSUN to evaluate the performance of the developed queue estimation and MP traffic signal control algorithms, with study results reported. | en |
| Type of Item | Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Publication | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2022-01-24 | - |
| Date of Publication | 2020 | - |
| Subject | Connected vehicles | en |
| Subject | Adaptive traffic signal control | en |
| Subject | Max pressure | en |
| Bibliographic Citation | J. Cao, Y. Hu, M. Diamantis, S. Zhang, Y. Wang, J. Guo, I. Papamichail, M. Papageorgiou, L. Zhang, and J. S. Hu, “A max pressure approach to urban network signal control with queue estimation using connected vehicle data,” in 2020 IEEE Intell. Transp. Syst. Conf. ITSC, 2020, pp. 1-8. doi: 10.1109/ITSC45102.2020.9294361. | en |
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