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Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle

Journal of Intelligent and Connected Vehicles 2022年第1期5卷 36-45页

作者： Lishengsa Yue Mohamed Abdel-Aty Zijin Wang Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFloridaUSA

Purpose–This study aims to evaluate the influence of connected and autonomous vehicle(CAV)merging algorithms on the driver behavior of human-driven vehicles on the ***/methodology/approach–Previous studies designed their merging algorithms mostly based on either the simulation or the restricted field testing,which lacks consideration of realistic driving behaviors in the merging *** study developed a multi-driver simulator system to embed realistic driving behavior in the validation of merging ***–Four types of CAV merging algorithms were evaluated regarding their influences on driving safety and driving comfort of the mainline vehicle *** results revealed significant variation of the algorithm ***,the results show that the reference-trajectory-based merging algorithm may outperform the social-psychology-based merging algorithm which only considers the ramp ***/value–To the best of the authors’knowledge,this is the first time to evaluate a CAV control algorithm considering realistic driver interactions rather than by the *** achieve the research purpose,a novel multi-driver driving simulator was developed,which enables multi-drivers to simultaneously interact with each other during a virtual driving *** results are expected to have practical implications for further improvement of the CAV merging algorithm.

关键词： Driving simulator Connected and autonomous vehicle merging algorithm merging behavior Safety and comfort Driving safety Driving comfort

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