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Behavioral adaptation of drivers when driving among automated vehicles

Journal of Intelligent and Connected Vehicles 2022年第3期5卷 309-315页

作者： Maytheewat Aramrattana Jiali Fu Department of Traffic and Road Users Swedish National Road and Transport Research InstituteLinköpingSweden Selpi Department of Computer Science and Engineering Chalmers University of TechnologyGöteborgSweden and Department of Mechanics and Maritime SciencesChalmers University of TechnologyGöteborgSweden

Purpose–This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles(AVs)compared to driving among manually driven vehicles(MVs).Understanding behavioral adaptation of drivers when they encounter AVs is crucial for assessing impacts of AVs in mixed-traffic ***,mixed-traffic situations refer to situations where AVs share the roads with existing nonautomated vehicles such as conventional ***/methodology/approach–A driving simulator study is designed to explore whether such behavioral adaptations *** different driving scenarios were explored on a three-lane highway:driving on the main highway and merging from an *** this study,18 research participants were ***–Behavioral adaptation can be observed in terms of car-following speed,car-following time gap,number of lane change and overall driving *** adaptations are dependent on the driving scenario and whether the surrounding traffic was AVs or *** significant differences in behavior were found in more than 90%of the research participants,they adapted their behavior differently,and thus,magnitude of the behavioral adaptation remains ***/value–The observed behavioral adaptations in this paper were dependent on the driving scenario rather than the time gap between surrounding *** finding differs from previous studies,which have shown that drivers tend to adapt their behaviors with respect to the surrounding ***,the surrounding vehicles in this study are more“free flow’”compared to previous studies with a fixed formation such as ***,long-term observations are required to further support this claim.

关键词： Automated vehicles Driver behaviors and assistance Human-robot interaction Behavioral adaptation Driving simulator experiment

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