Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival-Reference-Cited by-同舟云学术

Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Chen Zebin¹,Xiao Xiaolin¹,Gong Yue-Jiao¹,Fang Jun²,Ma Nan²,Chai Hua²,Cao Zhiguang³

Affiliation:

1. South China University of Technology, Guangzhou, China

2. Didi Chuxing, Beijing, China

3. Singapore Institute of Manufacturing, Singapore, Singapore

Funder

Guangdong Natural Science Funds for Distinguished Young Scholars

Guangdong Regional Joint Fund for Basic and Applied Research

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

DiDi GAIA Research Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539051

Reference51 articles.

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3. TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

4. Hybrid Spatio-Temporal Graph Convolutional Network

5. Traffic Estimation And Prediction Based On Real Time Floating Car Data

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