Modeling Network-level Traffic Flow Transitions on Sparse Data-Reference-Cited by-同舟云学术

Modeling Network-level Traffic Flow Transitions on Sparse Data

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:

Lei Xiaoliang¹,Mei Hao²,Shi Bin¹,Wei Hua²

Affiliation:

1. Xi'an Jiaotong University, Xi'an, China

2. New Jersey Institute of Technology, Newark, NJ, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539236

Reference44 articles.

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2. A study of K-nearest neighbour as an imputation method;Batista Gustavo EAPA;His,2002

3. René Boel and Lyudmila Mihaylova . 2006. A compositional stochastic model for real time freeway traffic simulation. TR-C ( 2006 ). René Boel and Lyudmila Mihaylova. 2006. A compositional stochastic model for real time freeway traffic simulation. TR-C (2006).

4. Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

5. CompactETA

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