Skip to main content
. 2022 Aug 24;13(9):1380. doi: 10.3390/mi13091380
2-DOF Two-degree-of-freedom
ACC Adaptive cruise control
ADAS Advanced driver assistance system
AHG Abnormal heat generation
AI Artificial intelligence
ANN Artificial neural network
AR Autoregressive
CART Classification and regression tree algorithm
CCC Connected cruise control
CNN Convolutional neural network
DNN Deep neural network
DDQN Double-deep Q-learning
DQN Deep Q-learning network
ES-DQN Experience selection deep Q-learning network
FMCW/CS Frequency-modulated continuous wave/chirp sequence
FNN Feedforward neural network
GAN Generative adversarial network
GPS Global positioning system
IDM Intelligent driver model
IMF-DNN Integrated multimodality fusion deep neural network
I2V Infrastructure-to-vehicle
IoT Internet of Things
IoV Internet of Vehicles
LPC Linear predictive coding
LSTM Long short-term memory
MCTS Monte Carlo tree search
MDP Markov decision process
MEMS Microelectromechanical system
MFCC Mel-frequency cepstral coefficient
ML Machine learning
MLP Multilayer perceptron
MOBIL Minimizing overall braking induced by lane
MS Model-based scheme
MSE Mean square error
PCA Principal components analysis
PdM Predictive maintenance
PER Prioritized experience replay
RAOM Random adjacent optimization method
RBF Radial basis function
RFFT Real fast Fourier transform
RL Reinforcement learning
RL-RRT Reinforcement learning rapidly exploring random tree
RNN Recurrent neural network
RRT Rapidly exploring random tree
SARSA State–action–reward–state–action
SA-SGAN Self-attention social generative adversarial network
SDN Software-defined network
SSE Sum of square error
SVM Support vector machine
SVM-RFE Support vector machine–recursive feature elimination
SUMO Simulation of urban mobility
UDDS Urban dynamometer driving schedule
URT Urban rail transit
V2G Vehicle-to-grid
VFDD Vehicle fault detection and diagnosis
VLC Visible light communication
WT Wavelet transform