DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps-Reference-Cited by-同舟云学术

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Huang Jizhou¹,Huang Zhengjie¹,Fang Xiaomin¹,Feng Shikun¹,Chen Xuyi¹,Liu Jiaxiang¹,Yuan Haitao¹,Wang Haifeng¹

Affiliation:

1. Baidu Inc., Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557091

Reference38 articles.

1. Abien Fred Agarap . 2018. Deep Learning using Rectified Linear Units (ReLU). CoRR , Vol. abs/ 1803 .08375 ( 2018 ). showeprint[arXiv]1803.08375 http://arxiv.org/abs/1803.08375 Abien Fred Agarap. 2018. Deep Learning using Rectified Linear Units (ReLU). CoRR, Vol. abs/1803.08375 (2018). showeprint[arXiv]1803.08375 http://arxiv.org/abs/1803.08375

2. Predictive analytics for enhancing travel time estimation in navigation apps of Apple, Google, and Microsoft

3. Ming Chen , Zhewei Wei , Zengfeng Huang , Bolin Ding , and Yaliang Li . 2020 . Simple and deep graph convolutional networks . In Proceedings of the 37th International Conference on Machine Learning. PMLR, 1725--1735 . Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, and Yaliang Li. 2020. Simple and deep graph convolutional networks. In Proceedings of the 37th International Conference on Machine Learning. PMLR, 1725--1735.

4. ETA Prediction with Graph Neural Networks in Google Maps

5. Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps

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