Legal and Technical Challenges of Smart Mobility to Increase Road Traffic, APVV-23-0519

About the project

Legal and Technical Challenges of Smart Mobility to Increase Road Traffic, APVV-23-0519

Principal Investigator: doc. JUDr. Marek Kordík, PhD. , LL.M.

Research Department: 050599 - Other disciplines related to legal sciences

Implementation: 2024 - 2027

Smart mobility represents a complex type of mobility and management of transport systems, which should function in smarter, more efficient, more ecological and environmentally sustainable ways by using information and communication technologies and other innovations. One of the main goals of intelligent mobility is to find and apply solutions that will reduce negative impacts associated with traffic accidents. Elements of smart mobility such as automated vehicles, data governance regarding automated vehicles and conventional vehicles, specifically access to their data, functionalities, and resources can increase road traffic safety. The research team, composed of experts from selected areas of law and technical fields, aims to analyse the current legal regulation regarding access to data, functions, and resources of automated vehicles and conventional vehicles. Other unique output is the analysis of the legal regulation regarding to retrieving event data recorder (EDR) and the data storage system for automated driving (DSSAD) as well as analysis of the scope and applicability of data stored in EDR and DSSAD for the purposes of investigating offenses and crimes. Other unique outputs of the project include technical analysis of technical options regarding retrieving EDR and DSSAD and accessing stored data in EDR and DSSAD, as well as preparation of legal and technical recommendations for law enforcement authorities, especially Police Force authorities regarding retrieving EDR and DSSAD, as well as scope and applicability of data stored data in EDR and DSSAD for the purposes of investigating offences and crimes. A significant outcome of this project is a prediction model to detect a potential traffic accidents on a selected road section.