Besides a general introduction of the three pilots and the project plans, as well as the ‘PHOEBE framework’, the data gathering and -analysis processes were highlighted. Further explanations were made related to the use of data to understand the risks for vulnerable road users, new technologies (such as autonomous driving), as well as different behaviours of road users.
In a similar structure to PHOEBE, SOTERIA started with desk research and the gathering of safety- and accident data. The use cases of the four Living Labs in Oxfordshire (UK), Saxony (DE), Madrid (ES) and Chania (GR) were defined through co-creation workshops. Novel data sources, such as cellular network data and micro-mobility will be used to understand how accidents and near-missed events affect certain population groups and vulnerable road users.
In contrast to PHOEBE and SOTERIA, V4SAFETY takes a vehicle perspective by assessing in-vehicle solutions, such as autonomous emergency braking (AEB). Also, other types of safety measures, such as implemented in the infrastructure or mandated in regulations are being addressed by the V4SAFETY prospective safety assessment framework.
The project separates its data requirements into two categories: primary data, such as accident data and real-world driving data, as well as secondary data, which refers to processed data, such as the information stored in scenario databases. Since data is an essential cornerstone of the project analysis, V4SAFETY will tap into several EU- and national data sources. Also, the availability of partner’s in-house data sets is of large importance.
The presentations were followed by a panel discussion between the presenters, who debated the wider question of ’how to use data analysis to enhance urban road safety?’. The discussion started with the assessment of data sources for transport modelling in urban environments.
The audience indicated that the most important data sources to enhance road safety are road user behaviour and accident data. Both are assessed in the three projects. A second poll about data use was very diverse, showcasing the different opportunities of data analysis methods.
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