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How do conditionally automated cars relate to current traffic safety challenges in Finland? : identifying target accidents for passenger cars with automated driving systems for motorways and urban areas

By: Series: Aalto University publication series. Doctoral dissertations ; 49/2023Publication details: Esbo : Aalto University. Department of Built Environment, 2023Description: 65 sISBN:
  • 9789526412214
Subject(s): Online resources: Notes: Härtill 3 uppsatser Abstract: This dissertation identified the potential of passenger cars equipped with automated driving systems (SAE3) for motorways and urban areas in improving traffic safety in Finland. It includes three sub-studies which investigated the current safety situation from a i) road network, ii) single-driver, and iii) pedestrian perspective. The results were first obtained by identifying the road network on which automated driving systems (ADS) can be used based on their operational design domain (ODD). Then, the expected number of injury accidents, fatalities, and serious injuries on the respective networks was estimated with the Empirical Bayes method.
Item type: Dissertation
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Härtill 3 uppsatser

This dissertation identified the potential of passenger cars equipped with automated driving systems (SAE3) for motorways and urban areas in improving traffic safety in Finland. It includes three sub-studies which investigated the current safety situation from a i) road network, ii) single-driver, and iii) pedestrian perspective. The results were first obtained by identifying the road network on which automated driving systems (ADS) can be used based on their operational design domain (ODD). Then, the expected number of injury accidents, fatalities, and serious injuries on the respective networks was estimated with the Empirical Bayes method.