Development and evaluation of Vehicle to Pedestrian [V2P] safety interventions [R7]
<|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:'While autonomous vehicles are expected to reduce the number of fatalities occurring due to driver distraction, little has been done to intervene for the distracted pedestrian ignoring traffic.To address this gap, we will develop a prototype Android mobile app that will alert pedestrians when they are near areas of high traffic density, including the presence of autonomous vehicles, and advise pedestrians when it is unsafe to cross a street. For this effort, we will determine if an app can be used effectively to advise pedestrians about safe street crossings, a mobile app can make crossing safer for distracted pedestrians, and what the threshold is in terms of reliability that drives trust, or a lack thereof, in this system.In this effort, we will identify factors that influence pedestrian decisions to enter the roadway and analyz' . 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" : ["Automated vehicle control","Human factors","Intelligent vehicles","Pedestrian safety","Real time information","Signalization","Technological innovations","Vehicle to vehicle communications"]} <|eot_id|>
 Here is the Description of a dataset. Description:'While autonomous vehicles are expected to reduce the number of fatalities occurring due to driver distraction, little has been done to intervene for the distracted pedestrian ignoring traffic.To address this gap, we will develop a prototype Android mobile app that will alert pedestrians when they are near areas of high traffic density, including the presence of autonomous vehicles, and advise pedestrians when it is unsafe to cross a street. For this effort, we will determine if an app can be used effectively to advise pedestrians about safe street crossings, a mobile app can make crossing safer for distracted pedestrians, and what the threshold is in terms of reliability that drives trust, or a lack thereof, in this system.In this effort, we will identify factors that influence pedestrian decisions to enter the roadway and analyz' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
While autonomous vehicles are expected to reduce the number of fatalities occurring due to driver distraction, little has been done to intervene for the distracted pedestrian ignoring traffic.To address this gap, we will develop a prototype Android mobile app that will alert pedestrians when they are near areas of high traffic density, including the presence of autonomous vehicles, and advise pedestrians when it is unsafe to cross a street. For this effort, we will determine if an app can be used effectively to advise pedestrians about safe street crossings, a mobile app can make crossing safer for distracted pedestrians, and what the threshold is in terms of reliability that drives trust, or a lack thereof, in this system.In this effort, we will identify factors that influence pedestrian decisions to enter the roadway and analyz
Automated vehicle control; Human factors; Intelligent vehicles; Pedestrian safety; Real time information; Signalization; Technological innovations; Vehicle to vehicle communications