Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning-Reference-Cited by-同舟云学术

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning

Published:2019-07-25 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Pan Zheyi¹,Liang Yuxuan²,Wang Weifeng¹,Yu Yong¹,Zheng Yu³,Zhang Junbo⁴

Affiliation:

1. Shanghai Jiaotong University, Shanghai, China

2. Xidian University, Xian, China

3. JD Intelligent Cities Research, JD Intelligent Cities Business Unit & Xidian University, Beijing, China

4. JD Intelligent Cities Research, JD Intelligent Cities Business Unit & Southwest Jiaotong University, Beijing, China

Funder

National Natural Science Foundation of China Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330884

Reference30 articles.

1. Afshin Abadi Tooraj Rajabioun Petros A Ioannou etal 2015. Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data. IEEE Trans. Intelligent Transportation Systems (2015). Afshin Abadi Tooraj Rajabioun Petros A Ioannou et al. 2015. Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data. IEEE Trans. Intelligent Transportation Systems (2015).

2. Samy Bengio Oriol Vinyals Navdeep Jaitly and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In NIPS. Samy Bengio Oriol Vinyals Navdeep Jaitly and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In NIPS.

3. De Brabandere Bert Xu Jia Tinne Tuytelaars and Luc V Gool. 2016. Dynamic filter networks. In NIPS. De Brabandere Bert Xu Jia Tinne Tuytelaars and Luc V Gool. 2016. Dynamic filter networks. In NIPS.

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