TY - CHAP A1 - Lobo, Silas A1 - Neumeier, Stefan A1 - Fernandez, Evelio A1 - Facchi, Christian ED - Alvarez Lopez, Pablo ED - Banse Bueno, Olaf Angelo ED - Armellini, Maria Giuliana ED - Behrisch, Michael ED - Bieker-Walz, Laura ED - Erdmann, Jakob ED - Flötteröd, Yun-Pang ED - Hilbrich, Robert ED - Nippold, Ronald ED - Rummel, Johannes ED - Schwamborn, Matthias ED - Wagner, Peter ED - Weber, Melanie T1 - InTAS: The Ingolstadt Traffic Scenario for SUMO T2 - SUMO User Conference 2020 UR - https://doi.org/10.52825/scp.v1i.102 KW - realistic traffic scenario KW - traffic modelling KW - VANET KW - SUMO Y1 - 2022 UR - https://doi.org/10.52825/scp.v1i.102 SP - 73 EP - 92 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Barbosa da Silva, Leonardo A1 - Lobo, Silas A1 - Fernández, Evelio A1 - Facchi, Christian ED - Vinel, Alexey ED - Berns, Karsten ED - Ploeg, Jeroen ED - Gusikhin, Oleg T1 - Is the Right Bounding Box of a VRU Cluster in V2X Communication? How to Form a Good Shape? T2 - Vehits 2024: 10th International Conference on Vehicle Technology and Intelligent Transport Systems Proceedings N2 - Among the possible traffic members on a Vehicle-to-Everything network, the term Vulnerable Road User (VRU) is assigned e.g. to pedestrians and cyclists. The VRU Awareness Message (VAM) is used by VRUs to inform other users of their presence and ensure they are perceived in a traffic system. Since the number of VRUs in crowded areas might be very high, the over-the-air traffic might be overloaded. To reduce channel overload, VAMs offer a clustering feature in which VRUs with similar kinematics and positions can group themselves so that only one device transmits messages. The VRU Basic Service specification describes the cluster as a bounding box that must cover all its members using a geometric shape so that other vehicles in the vicinity can avoid colliding with the contained VRUs. This paper contributes to the standardization effort by introducing a data structure, the Cluster Map, for the clustering in the VRU Basic Service. Furthermore, this work is the first to suggest strategies for forming bounding box shapes. Simulation results show that each of the geometry types is useful in different situations, thus further research on the topic is advised. UR - https://doi.org/10.5220/0012699100003702 Y1 - 2024 UR - https://doi.org/10.5220/0012699100003702 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48553 SP - 144 EP - 155 PB - SciTePress CY - Setúbal ER - TY - CHAP A1 - Lobo, Silas A1 - Fernandez, Evelio A1 - Facchi, Christian T1 - Determining the Location of Objects Using a Vision-System Sensor and CPM T2 - XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais UR - https://doi.org/10.14209/SBRT.2020.1570661627 KW - VANET KW - Collective Perception Message KW - CPM KW - Perceived Object KW - Car2X KW - MobilEye Y1 - 2020 UR - https://doi.org/10.14209/SBRT.2020.1570661627 PB - SBrT CY - Rio de Janeiro ER -