In this project I was responsible for distributed data analysis for big data forecasting using cloud computing.
J. Fiosina, M. Fiosins (2017). Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting. Applied Computational Intelligence and Soft Computing, 2017, 13.
The overall objective of the SocialCars Research Training Group RTG is to research new methods and applications of decentralized, cooperative traffic management, that are enabled 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 communication, interaction, and dynamic geo-information, as well as models and methods of cooperative, (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. The subject-specific competences of the participating professors provide excellent coverage of the six fields of research, from traffic management over dynamic geo-information systems and communication technology to modeling distributed decision-making, coordination, and cooperation. The RTG will be embedded in the Niedersächsisches Forschungszentrum Fahrzeugtechnik (NFF), thus the main working space of the students will be in the new NFF Research Building at TU Braunschweig where they are exposed to an inspiring environment with a wide range of academic and industrial competences from renowned colleagues working in the areas of mobility, traffic, and automotive engineering. At the same time, the students will also have a workspace at their home institutes, which will serve to foster their embedding in their own discipline. This substantially expands the qualification opportunities in the strategic research focus Mobility and Traffic of the NTH.