In this paper, we propose a new method for dangerous driving behavior prediction by using a hybrid model consisting of cloud model and Elman neural network (CM-ENN) based on vehicle motion state estimation and passenger's subjective feeling scores, which is more intuitive in perceiving potential dangerous driving ...
Apr 29, 2021 · In this paper, we propose a new method for dangerous driving behavior prediction by using a hybrid model consisting of cloud model and Elman neural network.
In this paper, we propose a new method for dangerous driving behavior prediction by using a hybrid model consisting of cloud model and Elman neural network (CM- ...
[72] used a cloud model and Elman neural network to predict dangerous driving behavior, including slow speeding, urgent acceleration, slow speed reduction, ...
Apr 25, 2024 · Prediction of Dangerous Driving Behavior Based on Vehicle Motion State and Passenger Feeling Using Cloud Model and Elman Neural Network.
A new neural network named Driving Behavior Risk Prediction Neural Network (DBRPNN) is developed for prediction based on the distracted driving behavior data.
“Long short-term memory and convolutional neural network for abnormal driving behaviour recognition. ... “Automatic Identification of Driver Inattentiveness Using ...
Missing: State Passenger Feeling Cloud Elman
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Prediction of Dangerous Driving Behavior Based on Vehicle Motion State and Passenger Feeling Using Cloud Model and Elman Neural Network.
Jan 25, 2022 · A new neural network named Driving Behavior Risk Prediction Neural Network (DBRPNN) is developed for prediction based on the distracted driving behavior data.
... based affordances to model adaptive navigational behavior,2010,4,,2,Konig A neural network ... vehicle behavior prediction using a vector power representation to ...