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Optimal path planning for connected and automated vehicles in lane-free traffic

Yanumula Venkata-Karteek, Typaldos Panagiotis, Troullinos Dimitrios, Malekzadehkebria Milad, Papamichail Ioannis, Papageorgiou Markos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/C5AF11CF-FDEB-4190-A032-BA6A45CB614B-
Αναγνωριστικόhttps://doi.org/10.1109/ITSC48978.2021.9564698-
Αναγνωριστικόhttps://ieeexplore.ieee.org/abstract/document/9564698-
Γλώσσαen-
Μέγεθος8 pagesen
ΤίτλοςOptimal path planning for connected and automated vehicles in lane-free trafficen
ΔημιουργόςYanumula Venkata-Karteeken
ΔημιουργόςYanumula Karteekel
ΔημιουργόςTypaldos Panagiotisen
ΔημιουργόςΤυπαλδος Παναγιωτηςel
ΔημιουργόςTroullinos Dimitriosen
ΔημιουργόςΤρουλλινος Δημητριοςel
ΔημιουργόςMalekzadehkebria Miladen
ΔημιουργόςMalekzadehkebria Miladel
ΔημιουργόςPapamichail Ioannisen
ΔημιουργόςIoannisel
ΔημιουργόςPapageorgiou Markosen
ΔημιουργόςΠαπαγεωργιου Μαρκοςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠεριγραφήThe research leading to these results has received funding from the European Research Council under the European Union’s Horizon 2020 Research and Innovation programme/ ERC Grant Agreement n. [833915], project TrafficFluid.en
ΠερίληψηThis paper develops a path planning algorithm for Connected and Automated Vehicles (CAVs) driving on a lane-free highway, according to a recently proposed novel paradigm for vehicular traffic in the era of CAVs. The approach considers a simple model of vehicle kinematics, along with appropriate constraints for control variables and road boundaries. Appropriate, partly competitive sub-objectives are designed to enable efficient vehicle advancement, while avoiding collisions with other vehicles and infeasible vehicle maneuvers. Based on these elements, a nonlinear Optimal Control Problem (OCP) is formulated for each ego vehicle, and a Feasible Direction Algorithm (FDA) is employed for its computationally efficient numerical solution. The OCP is solved repeatedly for short time horizons within a Model Predictive Control (MPC) framework, while the vehicle advances. It is demonstrated via traffic simulation, involving many such vehicles, on a lane-free ring-road that the proposed approach delivers promising results and can be considered as a candidate for use in further developments related to lane-free CAV traffic.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Ημερομηνία2022-07-01-
Ημερομηνία Δημοσίευσης2021-
Θεματική ΚατηγορίαModel predictive controlen
Θεματική ΚατηγορίαPath planningen
Θεματική ΚατηγορίαOptimal controlen
Θεματική ΚατηγορίαAutomated vehiclesen
Θεματική ΚατηγορίαLane-free trafficen
Βιβλιογραφική ΑναφοράV. K. Yanumula, P. Typaldos, D. Troullinos, M. Malekzadeh, I. Papamichail and M. Papageorgiou, "Optimal path planning for connected and automated vehicles in lane-free traffic," in 24th IEEE International Intelligent Transportation Systems Conference (ITSC 2021), 2021, pp. 3545-3552, doi: 10.1109/ITSC48978.2021.9564698.en

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