Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

no code implementations • Journal Pre-proof 2021 • Ahmad Ali, Yanmin Zhu, Muhammad Zakarya

To overcome the above issue, this paper advises a unified dynamic deep spatio-temporal neural network model based on convolutional neural networks and long short-term memory, termed as (DHSTNet) to simultaneously predict crowd flows in every region of a city.