Investigation of Merge Strategies at Ramp Area in Connected Vehicle Environment based on Multi-Driver Simulator System
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study aims to investigate the impacts of merge strategies of a ramp CAV on mainline human drivers. Previous studies evaluated CAV merge strategies mostly based on either the simulation or the restricted field testing, which lacks consideration of realistic driving behaviors in the merging scenario. To deal with this research gap, this study developed a multi-driver simulator system and considered realistic driving behaviors in the validation of merge strategies. Four CAV merge strategies were evaluated regarding their impacts on driving safety and comfort of the mainline human drivers. A set of driving safety and comfort metrics was adopted to verify the merge strategies. The results show that these algorithms might not have consistent performance when evaluated by different safety and comfort metrics. In addition, results revealed' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Driving simulator, Connected and autonomous vehicle, Merge strategy, Merge behavior, Safety and comfort."]} <|eot_id|>
 Here is the Description of a dataset. Description:'This study aims to investigate the impacts of merge strategies of a ramp CAV on mainline human drivers. Previous studies evaluated CAV merge strategies mostly based on either the simulation or the restricted field testing, which lacks consideration of realistic driving behaviors in the merging scenario. To deal with this research gap, this study developed a multi-driver simulator system and considered realistic driving behaviors in the validation of merge strategies. Four CAV merge strategies were evaluated regarding their impacts on driving safety and comfort of the mainline human drivers. A set of driving safety and comfort metrics was adopted to verify the merge strategies. The results show that these algorithms might not have consistent performance when evaluated by different safety and comfort metrics. In addition, results revealed' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This study aims to investigate the impacts of merge strategies of a ramp CAV on mainline human drivers. Previous studies evaluated CAV merge strategies mostly based on either the simulation or the restricted field testing, which lacks consideration of realistic driving behaviors in the merging scenario. To deal with this research gap, this study developed a multi-driver simulator system and considered realistic driving behaviors in the validation of merge strategies. Four CAV merge strategies were evaluated regarding their impacts on driving safety and comfort of the mainline human drivers. A set of driving safety and comfort metrics was adopted to verify the merge strategies. The results show that these algorithms might not have consistent performance when evaluated by different safety and comfort metrics. In addition, results revealed
Driving simulator, Connected and autonomous vehicle, Merge strategy, Merge behavior, Safety and comfort.