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 deep network and tree model

Complementary Fusion of Deep Network and Tree Model for ETA Prediction

Huang, YuRui, Zhang, Jie, Bao, HengDa, Yang, Yang, Yang, Jian

arXiv.org Artificial Intelligence

Estimated time of arrival (ETA) is a very important factor in the transportation system. It has attracted increasing attentions and has been widely used as a basic service in navigation systems and intelligent transportation systems. In this paper, we propose a novel solution to the ETA estimation problem, which is an ensemble on tree models and neural networks. We proved the accuracy and robustness of the solution on the A/B list and finally won first place in the SIGSPATIAL 2021 GISCUP competition.

  deep network and tree model, sequence, yang yang, (11 more...)
2407.01262
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  Genre: Research Report (0.70)
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