DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps-Reference-Cited by-同舟云学术

DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps

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

Xia Deguo¹,Liu Xiyan¹,Zhang Wei¹,Zhao Hui¹,Li Chengzhou¹,Zhang Weiming¹,Huang Jizhou¹,Wang Haifeng¹

Affiliation:

1. Baidu, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557151

Reference34 articles.

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2. PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction

3. Hybrid Spatio-Temporal Graph Convolutional Network

4. Shengdong Du , Tianrui Li , Xun Gong , and Shi-Jinn Horng . 2018. A hybrid method for traffic flow forecasting using multimodal deep learning. arXiv preprint arXiv:1803.02099 ( 2018 ). Shengdong Du, Tianrui Li, Xun Gong, and Shi-Jinn Horng. 2018. A hybrid method for traffic flow forecasting using multimodal deep learning. arXiv preprint arXiv:1803.02099 (2018).

5. SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps

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