Web: http://arxiv.org/abs/2206.10598

June 23, 2022, 1:10 a.m. | Zhan Zhao, Yuebing Liang

cs.LG updates on arXiv.org arxiv.org

Route choice modeling, i.e., the process of estimating the likely path that
individuals follow during their journeys, is a fundamental task in
transportation planning and demand forecasting. Classical methods generally
adopt the discrete choice model (DCM) framework with linear utility functions
and high-level route characteristics. While several recent studies have started
to explore the applicability of deep learning for travel choice modeling, they
are all path-based with relatively simple model architectures and cannot take
advantage of detailed link-level features. Existing …

arxiv deep learning lg modeling reinforcement reinforcement learning route

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