An Attention-Based Car-Following Model Based on Fused Data
Li-Zheng Wang,
Jian Li,
Han Zhang
et al.
Abstract:Data-driven car-following models provide an alternative approach to explore the underlying and complex driving behavior, while they suffer from poor generalization ability that makes it difficult to be applied to traffic simulations. To address this issue, this paper proposes an attention-based data fusion car-following (ABF-CF) model. In the ABF-CF model, we propose an innovative approach to construct a multi-source dataset for training models by fusing field data with model simulation data. The major framewo… Show more
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