Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/8F7A90FE-F370-461F-B7BF-7EAE7B5CCCB7 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.77371 | - |
| Language | en | - |
| Extent | 63 pages | en |
| Title | Fuel-minimizing vehicle trajectory specification in the presence of traffic lights with certain or stochastic switching times | en |
| Creator | Kalogianni Ioanna | en |
| Creator | Καλογιαννη Ιωαννα | el |
| Contributor [Thesis Supervisor] | Papageorgiou Markos | en |
| Contributor [Thesis Supervisor] | Παπαγεωργιου Μαρκος | el |
| Contributor [Committee Member] | Papamichail Ioannis | en |
| Contributor [Committee Member] | Παπαμιχαηλ Ιωαννης | el |
| Contributor [Committee Member] | Nikolos Ioannis | en |
| Contributor [Committee Member] | Νικολος Ιωαννης | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Production Engineering and Management | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Μηχανικών Παραγωγής και Διοίκησης | el |
| Content Summary | Driving style of road vehicles has a significant impact on the fuel economy, hence the recent term eco-driving to denote a driving style that reduces fuel consumption. In the last decades, autonomous driving, but also vehicular communications are becoming more and more important. One application of vehicle connectivity is to receive information about the next signal switching time when vehicles approach a traffic light. Based on this information, appropriately developed systems (or apps), known as GLOSA (Green Light Optimal Speed Adaptation), compute a fuel-efficient velocity profile for the vehicle to cross the traffic lights, e.g. without stopping. The main purpose of this thesis is to generate optimal (fuel-minimising) trajectories for vehicles crossing a signalized junction, with traffic signals operated in either fixed-time or real-time mode. In the case of fixed-time signals, the next switching time is known beforehand; in real-time signals, the next switching time is decided in real time based on the prevailing traffic conditions and is therefore uncertain in advance. This thesis approaches the problem by using traffic lights' information and calculating a trajectory and a velocity profile for the vehicle, based on the vehicle’s initial state (position and speed) and a fixed final destination state (downstream of the junction). In the case of fixed signals, an appropriate optimal control problem is formulated and solved analytically via the Pontryagin's Minimum Principle (PMP). In the case of real-time signals, availability of a time-window of possible signal switching times, along with the corresponding probability distribution, is assumed, and the problem is cast in the format of a stochastic optimal control problem and is solved numerically using Stochastic Dynamic Programming techniques. | en |
| Type of Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-07-10 | - |
| Date of Publication | 2018 | - |
| Subject | Trajectory optimization | en |
| Subject | Fuel minimizing | en |
| Bibliographic Citation | Ioanna Kalogianni, "Fuel-minimizing vehicle trajectory specification in the presence of traffic lights with certain or stochastic switching times", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2018 | en |
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