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Forecasting Freeway Traffic Volumes with Adverse Weather via a CNN-BiLSTM-Attention Model
Publisher: American Society of Civil Engineers
Abstract: Forecasting traffic volumes under adverse weather in advance contributes to allocating traffic resources for traffic managers and formulating optimal travel strategies for travelers, which assists in preventing and offsetting ...