Conceitos Básicos
Deep learning with CNN-LSTM architecture enhances traffic flow prediction using cellular automata-based models.
Estatísticas
"The training sets adhere to the true population probability distributions, resulting in more accurate predictions."
"The size of the dataset is extremely small compared to the total number of possible traffic state configurations."
"Accuracy was defined based on the ratio of correct predictions in a sequence of traffic states."
Citações
"The normalized energy distributions of periodic CA-based statistical mechanics models are similar to each other and scale-invariant."
"The simulated samples generated for training and testing were based on simulations with fewer sites and shorter time duration."