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This paper details our solution to Traffic4cast 2020. Similar to Traffic4cast2019, Traffic4cast 2020 challenged its contestants to develop algorithms thatcan predict the future traffic states of big cities. Our team tackled thischallenge on two fronts. We studied the importance of feature and loss functiondesign, and achieved significant improvement to the best performing U-Netsolution from last year. We also explored the use of Graph Neural Networks andintroduced a novel ensemble GNN architecture which outperformed the GNNsolution from last year. While our GNN was improved, it was still unable tomatch the performance of U-Nets and the potential reasons for this shortfallwere discussed. Our final solution, an ensemble of our U-Net and GNN, achievedthe 4th place solution in Traffic4cast 2020.

Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction