URI | http://purl.tuc.gr/dl/dias/B6C30BC1-8300-403D-9C37-1DFECC992822 | - |
Identifier | https://doi.org/10.1109/MED59994.2023.10185750 | - |
Identifier | https://ieeexplore.ieee.org/document/10185750 | - |
Language | en | - |
Extent | 8 pages | en |
Title | Integrated optimal control for multi-lane motorway networks | en |
Creator | Markantonakis Vasileios | en |
Creator | Μαρκαντωνακης Βασιλειος | el |
Creator | Papamichail Ioannis | en |
Creator | Παπαμιχαηλ Ιωαννης | el |
Publisher | Institute of Electrical and Electronics Engineers | en |
Description | This work was supported in part by the European Commission in the framework of the project FRONTIER under Grant Agreement No: 955317 | en |
Content Summary | This paper presents a Quadratic Programming (QP) problem formulation, employing a modified multi-lane version of the well-known macroscopic Cell Transmission Model (CTM), to determine integrated optimal control actions for motorway networks. These include mainstream traffic flow control (MTFC), lane change control (LCC), ramp metering control (RM) and dynamic traffic assignment (DTA) actions to be applied by Connected and Automated Vehicles (CAVs). An algorithm based on the barrier method provides a fast solution of the convex QP problem. A case study, for a hypothetical motorway network with multiple destinations and routes, demonstrates the efficiency of the open-loop solutions. | 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 | 2024-05-29 | - |
Date of Publication | 2023 | - |
Subject | Quadratic programming | en |
Subject | Integrated control | en |
Subject | Multi-lane motorway networks | en |
Subject | Optimal control | en |
Bibliographic Citation | V. Markantonakis and I. Papamichail, "Integrated optimal control for multi-lane motorway networks," in 2023 31st Mediterranean Conference on Control and Automation (MED), Limassol, Cyprus, 2023, pp. 464-471, doi: 10.1109/MED59994.2023.10185750. | en |