Unique identifier: EFOP-3.6.2-16-2017-00002
Duration of the project: June 1, 2017 – December 29, 2020
Beneficiary:
Budapest University of Technology and Economics
Partners in the konzorcium:
Pannon University (PE)
Széchenyi István University (SZE)
Amount of support provided by the European Union and the Hungarian State: 1 496 499 445 Ft
Extent of support: 100%
The overall goal of the project is to enable Hungary to integrate more successfully into European research networks through thematic research carried out in cooperation between Széchenyi István University, BME and the University of Pannonia, and thus to increase the potential of Hungarian higher education in research and development and innovation. The main goal of this project is to improve the human resources and services required for research at a level that improves the possibility of using research results and long-term funding of research activities, thus significantly contributing to strengthening cooperation with the economic sphere. . The primary goal of the research is to research the testing processes of future defining vehicle technologies (autonomous vehicles, e-mobility) and to provide technical support for the test track based in Zalaegerszeg on the relevant topic. The direct aim of the research is to investigate testing procedures for autonomous vehicles and electric vehicles, covering different layers of testing methods (simulation technologies, laboratory tests, test track, limited road and road tests), both at component and system level, with appropriate providing a basis for the future functionality of the test track currently under construction in Zalaegerszeg. Tests for special cases are also being investigated, as accident situations in these special vehicles require different treatment (e.g. handling of high-voltage batteries in electric vehicles).
The specific goals of the project: to implement a research project that is related to both the goals of the national economy and the key technologies and thematic areas defined by the European Union. Implementation of a complex research project implemented in a networked form with the participation of research teams operating by organizing capacities. Creation and expansion of the human resources necessary for the research of the consortium partners, improvement of the conditions of the scientific and researcher supply. Development of research management capacities supporting the success of the research in the institutions of the consortium partners. Another goal is to make knowledge and technology transfer processes between consortium partners more efficient. Networking, building relationships with internationally recognized institutions and researchers in the field of project research in order to increase the domestic and international embeddedness of the consortium partners. In the operation of the consortium members, the focus of R & D & I and the domestic adaptation of the methodological experiences of international research should be strengthened.
The main target groups of the project are: Higher education students: students, especially doctoral students and predoctors; Postdoctoral researchers, young researchers, higher education teachers, researchers; R&D staff of higher education institutions.
All components of autonomous vehicle control systems must replace some of the capabilities of the current driver, and have a statistically significantly better error rate in terms of societal expectations for widespread acceptance and trust.
These components are the following:
- Cooperative vehicle management,
- Complex vehicle control system: detection – decision making – intervention,
- Communication, which interwaves all elements
Each component needs to be developed, tested and validated with a new approach. Perception, decision-making, and intervention need to be examined from a whole new perspective, as it must provide performance that is virtually comparable to human intelligence. The application of conventional algorithms is limited, therefore new methods, which are expected to be based on artificial intelligence, must be applied in the system, which have the ability to self-learn and generalize. Appropriate methods for evaluating such methods and system components are not yet known and are under research. Communication within a vehicle, between components, and later between vehicles and with vehicle infrastructure is an essential component of autonomous vehicle control systems. Ensuring the proper real-time operation of communication systems is essential. The vulnerability of the communication system poses a serious risk from a security point of view, which can lead to failure and accident. The widespread use of electric vehicles will bring with it the development of charging network infrastructure that would not currently be able to meet the demand for charging a larger amount of electric vehicles.
