A paper titled Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy authored by Antonia Antonakaki, Maria Oikonomou, Thodoris Garefalakis and George Yannis has been published in Infrastructures. The study aims to evaluate the impact of Autonomous Vehicle (AV) penetration rates on traffic safety, through the use of microscopic simulation scenarios, utilizing multiple linear and multinomial logistic regression models. The findings highlight that higher AV penetration rates generally improve traffic safety, although the coexistence of conventional vehicles and vehicles equipped with driving automation systems introduces traffic heterogeneity, potentially influencing safety outcomes. These results suggest that while AVs have a positive effect on road safety, further analysis is needed to address the complexities introduced by mixed-traffic conditions.
Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy, December 2024
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