Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/E2D5690E-3ECA-464C-B283-A88327CEB21F | - |
| Identifier | https://doi.org/10.1109/ITSC.2014.6957739 | - |
| Language | en | - |
| Title | Model predictive control for multi-lane motorways in presence of VACS | en |
| Creator | Roncoli Claudio | en |
| Creator | Roncoli Claudio | el |
| Creator | Papamichail Ioannis | en |
| Creator | Παπαμιχαηλ Ιωαννης | 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 | A widespread use of vehicle automation and communication systems (VACS) is expected in the next years. This may lead to improvements in traffic management because of the augmented possibilities of using VACS both as sensors and as actuators. To achieve this, appropriate studies, developing potential control strategies to exploit the VACS availability, are essential. This paper describes a model predictive control framework that can be used for the integrated and coordinated control of a motorway system, considering that vehicles are equipped with specific VACS. Microscopic simulation testing demonstrates the effectiveness and the computational feasibility of the proposed approach. | 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 | 2015-03-30 | - |
| Date of Publication | 2014 | - |
| Subject | Vehicle automation and communication systems | en |
| Subject | en | |
| Subject | VACS | en |
| Bibliographic Citation | C. Roncoli, I. Papamichail, M. Papageorgiou, "Model predictive control for multi-lane motorways in presence of VACS," in 17th International IEEE Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, 8-11 October 2014, pp. 501-507. | en |
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