Short-term prediction of border crossing time and traffic volume for commercial trucks: A case study for the Ambassador Bridge

•Cross-border traffic volume and crossing time over one of the busiest US–Canada bridges, the Ambassador Bridge, were modeled.•A yearlong Global Positioning System database was used to calculate crossing time.•A multilayer feedforward Artificial Neural Network (ANN) with backpropagation approach was utilized the modeling.•Evaluation indicators confirmed high forecasting capability of the trained ANN models.•The ANN models could be used to support operations of Intelligent Transportation Systems technologies.