Lane-free traffic with connected and automated vehicles – an optimal control approachLane-free traffic with connected and automated vehicles – an optimal control approach Σύντομη Δημοσίευση σε Συνέδριο Conference Short Paper 2023-01-052022enThe 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.Inefficient usage of the road space is a major reason for traffic congestion, which entails increased delays and fuel consumption and increased emissions. In addition, the vast majority of road accidents are caused due to erratic human driving. Despite extensive research on traffic management, congestion and accidents occur excessively across the world. To mitigate these issues, connected and automated vehicles (CAVs) seem promising (Montanaro et al., 2019). When the roads are largely populated with CAVs, using Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) information sharing, lanes may become unnecessary, as they waste lateral road space due to variations in the width of vehicles, and necessitate accident-prone lane-changing manoeuvres. With the lane-free traffic paradigm proposed by (Papageorgiou et al., 2021), the lane structure of traffic, designed to facilitate human driving, can be dropped in the era of CAVs in favour of increased safety and efficiency.http://creativecommons.org/licenses/by-nc-nd/4.0/11th Triennial Symposium on Transportation AnalysisYanumula_et_al_TRISTAN XI Symp._2022.pdfChania [Greece]Library of TUC2022-12-21application/pdf769.4 kBfree Yanumula Venkata-Karteek Yanumula Karteek Typaldos Panagiotis Τυπαλδος Παναγιωτης Troullinos Dimitrios Τρουλλινος Δημητριος Malekzadehkebria Milad Malekzadehkebria Milad Papamichail Ioannis Παπαμιχαηλ Ιωαννης Papageorgiou Markos Παπαγεωργιου Μαρκος Lane-free traffic Connected and automated vehicles Optimal path planning Model predictive control