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.
Archives
Tag cloud
accident severity
alcohol
buses
campaigns
cell phone
cerebral diseases
children
culture
cyclists
data analysis
distraction
driving simulator
education & training
enforcement
equipment
esafety
fatigue
helmet
impact assessment
international comparisons
junctions
lighting
lorries
measures assessment
mobility and transport
mopeds
motorcyclists
motorways
naturalistic driving
older drivers
pedestrians
road fatalities
road interventions
road safety data
rural roads
safety assessment
safety equipment
seat belt
speed
strategy
traffic
urban safety
weather
work related safety
young drivers