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SUrrogate measures for SAFE autonomous and connected mobility

Project description

Safety drives driverless cars

Human driver errors are the cause of the majority of traffic accidents. Does this mean that with automation there would be no more accidents? How safe will the interaction be between conventional vehicles and connected and automated vehicles? What will the role of the road infrastructure be? While European policies support the introduction of vehicles with advanced driver assistance systems, the road towards full automation remains long due to a fear of crashes and low acceptance among the public. To address these issues, the EU-funded SUperSAFE project will shed light on the newly identified risks posed by vehicle automation. The ultimate goal is to find ways to ensure a safe transition to fully automated driving.

Objective

"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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Coordinator

LUNDS UNIVERSITET
Net EU contribution
€ 1 500 000,00
Address
Paradisgatan 5c
22100 Lund
Sweden

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Region
Södra Sverige Sydsverige Skåne län
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00