As an important part of intelligent transport systems, traffic flow prediction has attracted substantial research interest. Here, one challenging yet essential problem is how to provide accurate real-time traffic predictions. This research is about the proposal of a new algorithm for decentralized traffic flow predictions based on edge computing, graph neural networks, and gated recurrent units.