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2022-01-14
相关数据集
Raw data for manuscript: Exposure to movie reckless driving in early adolescence predicts reckless, but not inattentive driving
Data were obtained by telephone from 1,630 US adolescents aged 10 to 14 years at baseline who were drivers at a survey 6 years later. Exposure to movie reckless driving was measured based on movies se
DataCite Commons2020-09-04 更新130
Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embeddings
These are the relevant codes for 'Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embedding'. It consists of five parts, each containing a 'Rea
NIAID Data Ecosystem40
Radial basis function (RBF) neural networks are applied to predict the vehicle state with a driver under guidance.
The position, velocity, acceleration of the merging vehicle, difference between velocity and desired velocity and difference between acceleration and desired acceleration of the merging vehicle for th
Figshare2023-06-06 更新30
Supplementary data for the paper 'Once a driver, always a driver—Manual driving style persists in automated driving takeover'
As automated vehicles require human drivers to resume control in critical situations, predicting driver takeover behaviour could be beneficial for safe transitions of control. While previous research
DataCite Commons2024-09-30 更新90
Predicting trajectory destinations based on diffusion model integrating spatiotemporal features and urban contexts
Real world driving trajectory dataset in Nanshan and Futian districts, Shenzhen, China, collected in October, 2017 by Amap platform. The dataset is used to predict trajectory destinations. Road networ
Figshare2024-10-12 更新30
