
Sinziana Maria SebeTechnische Universität Clausthal | TUC · Department of Computer Science
Sinziana Maria Sebe
Master of Science
About
5
Publications
297
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6
Citations
Citations since 2017
Publications
Publications (5)
Our research is developing flexible strategies for forming and routing future platoons of automated urban logistics vehicles. We propose the notion of compensational platooning using automated negotiation between agents representing vehicles. After the vehicles reach the end of a common route, an agent can propose part of its route along with a mon...
Platoons, vehicles that travel very close together acting as one, promise to improve road usage on freeways and city roads alike. We study platoon formation in the context of same-day delivery in urban environments. Multiple self-interested logistic service providers (LSP) carry out same-day deliveries by deploying autonomous electric vehicles that...
Platoons, vehicles that travel very close together acting as one, promise to improve road usage on freeways and city roads alike. We study platoon formation in the context of same-day delivery in urban environments. Multiple self-interested logistic service providers (LSP) carry out same-day deliveries by deploying autonomous electric vehicles that...
Projects
Projects (2)
The overall objective of the SocialCars Research Training Group is to research new methods and applications of decentralized, cooperative traffic management, that are en-abled by new technological trends and developments such as Car-to-X communication.
SocialCars focuses on the interplay of centralized management in the sense of classical traffic control, and decentralized management in the sense of the local goals of individual traffic participants. In order to comprehensively study this interplay while considering both the requirements of traffic participants and the constraints of the urban environment, we propose six fields of research, in which we investigate novel and interdisciplinary research questions. In these fields of research, we study problems related to behavioural aspects of traffic participants, societal objectives, technical and algorithmic foundations of communica-tion, interaction, and dynamic geo-information, as well as models and methods of coopera-tive, (de)centralized traffic management. We research solutions to these problems that will enable us to realistically describe dynamic cooperative traffic systems, and to evolve and optimize such systems in accordance with societal objectives.
For details see http://www.socialcars.org/