DxNAT โ Deep neural networks for explaining non-recurring traffic congestion
DxNAT โ Deep neural networks for explaining non-recurring traffic congestion
Non-recurring traffic congestion is caused by temporary disruptions, such as accidents, sports games, adverse weather, etc. We use data related to real-time traffic speed, jam factors (a traffic congestion indicator), and events collected over a year from Nashville, TN to train a multi-layered deep neural network. The traffic dataset contains โฆ