Traffic Networks via Neural Networks : Description and Evolution
We optimize traffic signal timing sequences for a section of a traffic net- work in order to reduce congestion based on anticipated demand. The system relies on the accuracy of the predicted traffic demand in time and space which is carried out by a neural network. Specifically, we design, train, and evaluate three different neural network models and assert their capability to describe demand from
