| URI | http://purl.tuc.gr/dl/dias/7FC0EA41-C301-4EFD-8ED2-0A4310FE4647 | - |
| Identifier | https://doi.org/10.1109/ITSC.2017.8317634 | - |
| Identifier | https://ieeexplore.ieee.org/abstract/document/8317634/ | - |
| Language | en | - |
| Extent | 8 pages | en |
| Title | Structural observability of multi-lane traffic with connected vehicles | en |
| Creator | Bekiaris-Liberis Nikolaos | en |
| Creator | Μπεκιαρης-Λυμπερης Νικολαος | el |
| Creator | Roncoli Claudio | en |
| Creator | Roncoli Claudio | el |
| Creator | Papageorgiou Markos | en |
| Creator | Παπαγεωργιου Μαρκος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Description | The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 321132, project TRAMAN21. | en |
| Content Summary | We establish sufficient and necessary conditions for the (weak) structural observability as well as the strong structural observability of lane-based highway traffic. Based on these results, we characterize the fixed detector configurations that guarantee the proper operation of a proposed traffic state estimation scheme. The structural observability analyses are based on a data-driven model, which is introduced for the per-lane traffic density dynamics. The proposed model is derived from the well-known conservation law equation via utilization of position and speed information from connected vehicle reports. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Date of Item | 2018-04-16 | - |
| Date of Publication | 2017 | - |
| Subject | Observability | en |
| Subject | Road transportation | en |
| Subject | Vehicle dynamics | en |
| Subject | Estimation | en |
| Bibliographic Citation | N. Bekiaris-Liberis, C. Roncoli and M. Papageorgiou, "Structural observability of multi-lane traffic with connected vehicles," in IEEE 20th International Conference on Intelligent Transportation Systems, 2017, pp. 185-192. doi: 10.1109/ITSC.2017.8317634 | en |