This article presents a deep learning model called Attention-ODE Travel Time Estimation (AODE-TTE) based on self-attention mechanisms and neural ordinary ...

This article presents a deep learning model called Attention-ODE Travel Time Estimation (AODE-. TTE) based on self-attention mechanisms and neural ordinary ...

The proposed model can adaptively mine spatial correlations and discover spatio-temporal dynamic evolution patterns through the coupled NDE, which makes the ...

Travel Time Estimation Neural Differential Equation Model based on Self-Attention Mechanism. Yijun Feng Danfeng Zhu Mu Li Xiangdong Wu.

Aug 22, 2024 · It utilizes a self-attention mechanism to capture global spatial correlations and a recurrent neural network to capture temporal dependencies ...

In this paper, we propose a new travel time estimation framework based on transformer and convolution neural networks (CNN) to improve the accuracy of travel ...

Dec 1, 2022 · This paper proposes a deep learning model based on GRU for short-term travel time prediction. We introduced self-attention in GRU to address the ...

Oct 22, 2024 · To address this issue, we propose an end-to-end model, AttentionTTE. It utilizes a self-attention mechanism to capture global spatial ...

ABSTRACT. Travel time estimation of a given route with respect to real-time traffic condition is extremely useful for many applications like route planning.

Dec 7, 2023 · In this paper, we propose an online model update algorithm that can be directly operated in real-world robot systems.