most citedInvestigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks

4 citations · 4 across the 1 of their papers we have counts for

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cs.LG2018★ 4 cited

Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks

Paweł Gora, Maciej Brzeski, Marcin Możejko +2

We analyze the accuracy of traffic simulations metamodels based on neural networks and gradient boosting models (LightGBM), applied to traffic optimization as fitness functions of…