Our goal is to develop models and methods that can be used to integrate autonomous road vehicles and the mobility services built on them into the changing transport system, taking into account the socio-environmental-economic relationship system. Transport systems based on automated road vehicles can be operated with innovative design, operation and information management methods.
Through the test scenarios of the demonstrations on the ZalaZONE test track, we examine the cyberphysical characteristics of highly automated vehicle systems, as well as the impact of factors affecting both vehicle safety and cyber safety. We examine the interaction between the factors influencing the safety and reliability of the communication process and some basic vehicle dynamics and vehicle safety factors.
In addition to the above, we are further developing a simulation environment suitable for the safety testing of conventional and highly automated transport systems. The developed methods provide an opportunity to identify critical elements of the transport system. By examining the system as a graph, the maximum throughput of the network can be determined. This allows us to identify the elements whose damage can critically affect the operation of the network, and to perform statistical tests to effectively identify critical network vulnerabilities and key parameters that affect system vulnerabilities. In addition to the above, the research group will develop a framework for the safety assessment of autonomous transport systems and analyze the impact of the topological characteristics of autonomous systems on safety.
We analyze the current so-called transitional modes of transport. The types of autonomous road vehicle mobility services and their characteristics will be defined. We model the structure of a transport system using autonomous road vehicles at the macro and meso levels. This mobility service can be implemented through the coordinated cooperation of several control centers with different functions; traffic control and on-site control activities will be more closely linked in the future. We develop the business model of the new mobility service and the foundations of organizational and institutional development. We are developing a collection point assignment method for the collection-distribution service. We study the spatial management changes that occur as a result of the proliferation of autonomous vehicles by forming visions.
The examination of legal issues is motivated by the fact that the occurrence of certain legal obstacles may be an obstacle to the implementation of the models, and that the business model must take into account the legal costs incurred. Our research covers: data protection studies, database protection studies, and examining the general regulatory background of Mobility as a Service (MaaS) models.
The aim of the research is to examine the legal aspects of the MaaS concept, in particular the application of autonomous vehicles in this field. The research primarily maps the regulatory solutions already existing in the European Union (including the case of car-sharing) and compares them with domestic regulations and identifies the legal challenges related to autonomous vehicles. It is particularly important to examine the role and scope of the MaaS operator from a legal point of view.
The development of the conditions for lawful data management is also a relevant condition that determines the suitability of the model. During the development of the data management model to be developed for the operational model, the data management map of the operation of the integrated mobility management center regarding personal data will be prepared. The data management map records the points of service management, passenger management and the operation of the transport system where personal data is processed. Another group of legal research questions related to data are questions related to databases created from data. On the one hand, this part of the research maps the main characteristics of data traffic from the point of view of database law, examines the database law features of the databases involved in the service and describes the framework for their interconnection.