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View article: Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook
Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook Open
Data science in transportation networks (DSTNs) refers to using diverse types of spatio-temporal data for various transportation tasks, including pattern analysis, traffic prediction, and traffic controls. Graph neural networks (GNNs) are …
View article: Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook
Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook Open
Data mining in transportation networks (DMTNs) refers to using diverse types of spatio-temporal data for various transportation tasks, including pattern analysis, traffic prediction, and traffic controls. Graph neural networks (GNNs) are e…
View article: Review and Perspectives on Human Emotion for Connected Automated Vehicles
Review and Perspectives on Human Emotion for Connected Automated Vehicles Open
The progression toward automated driving and the latest advancement in vehicular networking have led to novel and natural human-vehicle-road systems, in which affective human-vehicle interaction is a crucial factor affecting the acceptance…
View article: Body_gesture_data
Body_gesture_data Open
40 sub-folders are further divided in this directory, each sub-folder contains the data of body gesture per participant. These sub-folders were named after the participant ID and include multiple MP4 files. Each MP4 files file corresponds …
View article: Facial_expression_data
Facial_expression_data Open
40 sub-folders are further divided in this directory, each sub-folder contains the data of all the facial expression per participant. The sub-folders are named after the participant ID and include 4 sub-sub folders which are central RGB (C…
View article: Road_scenario_data
Road_scenario_data Open
This directory is divided into 40 sub-folders, each of which contains the data of driving road scenario per participant. These sub-folders were named after the participant ID and include multiple MP4 files. Each MP4 files file corresponds to …
View article: Scripts
Scripts Open
The preprocessing and main analysis codes (Python scripts) are summarized in this directory. All results in the technical verification section can be copied using these scripts. For more details, please read the instructions in the README.…
View article: Psychological_data
Psychological_data Open
This directory contains the data of participant biographic, self-reported emotion labels and personality traits as three .xlsx files. BIO.XLSX. Each row contains the biographical data of a participant, organized by participant ID, gender (…
View article: Selected_stimulus_clips
Selected_stimulus_clips Open
This directory contains one sub-folder of selected video-audio clips and one clip raw links .xlsx file. Selected video-audio clips. This sub-folder contains seven selected video-audio clips for driver emotion induction. The target emotions…
View article: Physiological_data
Physiological_data Open
40 sub-folders are further divided in this directory, each sub-folder contains the data of all the EEG signal per participant. These sub-folders were named after the participant ID and include multiple CSV files. Each CSV file corresponds …
View article: Driving_behavioural_data
Driving_behavioural_data Open
40 sub-folders are further divided in this directory, each sub-folder contains all the driving behavioural data (DBD) of one participant. These sub-folders were named after the participant ID and include multiple CSV files. Each CSV file c…