Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method-Reference-Cited by-同舟云学术

Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method

Author:

Wang Pengkun¹^ORCID,Zhu Chaochao²,Wang Xu¹^ORCID,Zhou Zhengyang¹^ORCID,Wang Guang³,Wang Yang¹^ORCID

Affiliation:

1. University of Science and Technology of China, Heifei, China

2. Huawei Technologies Inc, Shanghai, China

3. Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

Project of Stable Support for Youth Team in Basic Research Field

CAS

National Natural Science Foundation of China

Anhui Science Foundation for Distinguished Young Scholars

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference53 articles.

1. Semi-supervised classification with graph convolutional networks;kipf,2016

3. DeepTrend: A deep hierarchical neural network for traffic flow prediction;dai,2017

4. Segmentation of urban areas using road networks;yuan,2012

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