Summary
"SUperSAFE ""SUrrogate measures for SAFE autonomous and connected mobility"" will address the problem of the safety evaluation of the interaction between conventional vehicles and connected and automated vehicles (CAVs). The project builds on the notion that vehicle automation is posing new risks that the traditional accident-based and proactive safety analysis methods are unable to investigate. In SUperSAFE, I will select the relevant variables drew on the newly identified risks posed by CAVs, and with these I will develop a new proactive method based on surrogate measures of safety for studying the effects of the physical and digital infrastructure on the interaction between road users in a mixed-mobility environment. Also considering the benchmarks for cities’ liveability and transport sustainability that include road casualties as a primary factor, the European White Paper on Transport calls to reach zero fatalities by 2050 following Vision Zero’s policy (zero serious casualties). Recent statistics indicate a reduction of traffic accidents but also that this development has slowed and additional efforts are required. At the same time, CAVs are already a reality. Tendency towards vehicle automation is even more evident in the European policies which encourage member states to push with the introduction of vehicles with advanced driver assistance systems. However, the road towards full automation is still not open because there is a fear of crashes/injuries and low acceptance of potential CAV accidents. This is mainly because the CAVs’ behaviour vis-a-vis the conventional vehicles on the road and the digital and physical infrastructure is still unknown. To meet these rapidly approaching needs, I propose SUperSAFE, which will contribute to attaining the aforementioned European goals by developing a scientifically rigorous method of estimating risk based on the road users’ real needs to improve traffic safety in the transition period to fully automated driving."
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101039222 |
| Start date: | 01-01-2023 |
| End date: | 31-12-2027 |
| Total budget - Public funding: | 1 500 000,00 Euro - 1 500 000,00 Euro |
Cordis data
Original description
"SUperSAFE ""SUrrogate measures for SAFE autonomous and connected mobility"" will address the problem of the safety evaluation of the interaction between conventional vehicles and connected and automated vehicles (CAVs). The project builds on the notion that vehicle automation is posing new risks that the traditional accident-based and proactive safety analysis methods are unable to investigate. In SUperSAFE, I will select the relevant variables drew on the newly identified risks posed by CAVs, and with these I will develop a new proactive method based on surrogate measures of safety for studying the effects of the physical and digital infrastructure on the interaction between road users in a mixed-mobility environment. Also considering the benchmarks for cities’ liveability and transport sustainability that include road casualties as a primary factor, the European White Paper on Transport calls to reach zero fatalities by 2050 following Vision Zero’s policy (zero serious casualties). Recent statistics indicate a reduction of traffic accidents but also that this development has slowed and additional efforts are required. At the same time, CAVs are already a reality. Tendency towards vehicle automation is even more evident in the European policies which encourage member states to push with the introduction of vehicles with advanced driver assistance systems. However, the road towards full automation is still not open because there is a fear of crashes/injuries and low acceptance of potential CAV accidents. This is mainly because the CAVs’ behaviour vis-a-vis the conventional vehicles on the road and the digital and physical infrastructure is still unknown. To meet these rapidly approaching needs, I propose SUperSAFE, which will contribute to attaining the aforementioned European goals by developing a scientifically rigorous method of estimating risk based on the road users’ real needs to improve traffic safety in the transition period to fully automated driving."Status
SIGNEDCall topic
ERC-2021-STGUpdate Date
09-02-2023
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