Abstract: Traffic flow prediction is the key to transportation safety and efficiency. The advance in machine ... learning algorithms. In traffic forecasting, despite the success of deep learning-based ...

It accomplishes this by utilising road impedance methods, time-varying traffic data, and graph theory. The research's suggested ... by an electric vehicle's charging behaviour can be reached using ...

A DNN method will be developed for generating the predicition of the amount of people in the traffic. Historical traffic data and socio-economic mobility profiles created will be used for training the ...

Southwest Research Institute, in collaboration with Vanderbilt University, is developing machine learning ... of ICM traffic modeling by using artificial intelligence algorithms to speed up ...

A new machine learning algorithm is poised ... element will be able to predict impacts so that traffic engineers can create corrective strategies. "We use a graph-based model together with novel ...