Martin, AsierLattarulo, RayZubizarreta, AsierPerez, JoshueLopez-Garcia, PedroFerariu, LaviniaMatcovschi, Mihaela-HanakoUngureanu, Florina2021Martin , A , Lattarulo , R , Zubizarreta , A , Perez , J & Lopez-Garcia , P 2021 , Trajectory planning for automated buses in parking areas . in L Ferariu , M-H Matcovschi & F Ungureanu (eds) , 2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings . 2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , pp. 688-694 , 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 , Iasi , Romania , 20/10/21 . https://doi.org/10.1109/ICSTCC52150.2021.9607247conference9781665414968Publisher Copyright: © 2021 IEEE.Automated Vehicles (AVs) are complex, and they require solutions in different areas such as perception, communications, decision, and control. In urban environments, path planning for parking maneuvers is a relevant feature. There is a good amount of research on this topic considering passenger cars. However, there are some gaps considering automated buses. This work proposes a path planning approach for parking an automated bus that targets the fewer possible trajectories to complete the parking maneuver. The algorithm considers the vehicle geometry, its kinematics, and the blockage or availability of the surrounding parking spaces, to create a set of trajectories to complete the parking maneuver. The approach was tested in simulation environments considering an electric Gulliver minibus in the framework of the European project SHOW.7enginfo:eu-repo/semantics/restrictedAccessconference output10.1109/ICSTCC52150.2021.9607247Autonomous drivingparkingtrajectory-planningArtificial IntelligenceComputational Theory and MathematicsControl and Systems EngineeringControl and OptimizationSDG 11 - Sustainable Cities and Communitieshttp://www.scopus.com/inward/record.url?scp=85123287552&partnerID=8YFLogxK