Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting-Reference-Cited by-同舟云学术

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Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting

Published:2021-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
language:
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Author:

Han Liangzhe¹,Du Bowen²,Sun Leilei³,Fu Yanjie⁴,Lv Yisheng⁵,Xiong Hui⁶

Affiliation:

1. Beihang University, Beijing, China

2. Beihang Univeristy & Peng Cheng Laboratory, Beijing, China

3. Beihang Univerisity & Peng Cheng Laboratory, Beijing, China

4. University of Central Florida, Orlando, FL, USA

5. Chinese Academy of Sciences, Beijing, China

6. the State University of New Jersey, Newark, NJ, USA

Funder

the National Natural Science Foundation of China

the Science and Technology Major Project of Beijing

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467275

Reference36 articles.

1. Intelligent system architecture for a vision-based contactless apprehension of traffic violations

2. Bike flow prediction with multi-graph convolutional networks

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